@misc{PatilVasishthLewis2016,
author = {Patil, Umesh and Vasishth, Shravan and Lewis, Richard L.},
title = {Retrieval interference in syntactic processing},
series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
journal = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
number = {493},
issn = {1866-8364},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-407987},
pages = {18},
year = {2016},
abstract = {It has been proposed that in online sentence comprehension the dependency between a reflexive pronoun such as himself/herself and its antecedent is resolved using exclusively syntactic constraints. Under this strictly syntactic search account, Principle A of the binding theory which requires that the antecedent c-command the reflexive within the same clause that the reflexive occurs in constrains the parser's search for an antecedent. The parser thus ignores candidate antecedents that might match agreement features of the reflexive (e.g., gender) but are ineligible as potential antecedents because they are in structurally illicit positions. An alternative possibility accords no special status to structural constraints: in addition to using Principle A, the parser also uses non-structural cues such as gender to access the antecedent. According to cue -based retrieval theories of memory (e.g., Lewis and Vasishth, 2005), the use of non-structural cues should result in increased retrieval times and occasional errors when candidates partially match the cues, even if the candidates are in structurally illicit positions. In this paper, we first show how the retrieval processes that underlie the reflexive binding are naturally realized in the Lewis and Vasishth (2005) model. We present the predictions of the model under the assumption that both structural and non-structural cues are used during retrieval, and provide a critical analysis of previous empirical studies that failed to find evidence for the use of non-structural cues, suggesting that these failures may be Type II errors. We use this analysis and the results of further modeling to motivate a new empirical design that we use in an eye tracking study. The results of this study confirm the key predictions of the model concerning the use of non-structural cues, and are inconsistent with the strictly syntactic search account. These results present a challenge for theories advocating the infallibility of the human parser in the case of reflexive resolution, and provide support for the inclusion of agreement features such as gender in the set of retrieval cues.},
language = {en}
}
@misc{PaapeVasishth2016,
author = {Paape, Dario L. J. F. and Vasishth, Shravan},
title = {Local coherence and preemptive digging-in effects in German},
series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
journal = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe},
number = {417},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-405337},
pages = {17},
year = {2016},
abstract = {SOPARSE predicts so-called local coherence effects: locally plausible but globally impossible parses of substrings can exert a distracting influence during sentence processing. Additionally, it predicts digging-in effects: the longer the parser stays committed to a particular analysis, the harder it becomes to inhibit that analysis. We investigated the interaction of these two predictions using German sentences. Results from a self-paced reading study show that the processing difficulty caused by a local coherence can be reduced by first allowing the globally correct parse to become entrenched, which supports SOPARSE's assumptions.},
language = {en}
}
@article{VasishthKentner2015,
author = {Vasishth, Shravan and Kentner, Gerrit},
title = {Prosodic focus marking in silent reading},
series = {Frontiers in psychology},
volume = {2016},
journal = {Frontiers in psychology},
number = {7},
editor = {Crocker, Matthew W.},
doi = {10.3389/fpsyg.2016.00319},
pages = {1 -- 19},
year = {2015},
abstract = {Understanding a sentence and integrating it into the discourse depends upon the identification of its focus, which, in spoken German, is marked by accentuation. In the case of written language, which lacks explicit cues to accent, readers have to draw on other kinds of information to determine the focus. We study the joint or interactive effects of two kinds of information that have no direct representation in print but have each been shown to be influential in the reader's text comprehension: (i) the (low-level)rhythmic-prosodic structure that is based on the distribution of lexically stressed syllables, and (ii) the (high-level) discourse context that is grounded in the memory of previous linguistic content. Systematically manipulating these factors, we examine the way readers resolve a syntactic ambiguity involving the scopally ambiguous focus operator auch (engl. "too") in both oral (Experiment 1) and silent reading (Experiment 2). The results of both experiments attest that discourse context and local linguistic rhythm conspire to guide the syntactic and, oncomitantly, the focus-structural analysis of ambiguous sentences. We argue that reading comprehension requires the (implicit) assignment of accents according to the focus structure and that, by establishing a prominence profile, the implicit prosodic rhythm directly affects accent assignment.},
language = {en}
}
@article{PaapeHemforthVasishth2018,
author = {Paape, Dario L. J. F. and Hemforth, Barbara and Vasishth, Shravan},
title = {Processing of ellipsis with garden-path antecedents in French and German},
series = {PLoS ONE},
volume = {13},
journal = {PLoS ONE},
number = {6},
publisher = {PLOS},
address = {San Francisco},
issn = {1932-6203},
doi = {10.1371/journal.pone.0198620},
pages = {1 -- 46},
year = {2018},
abstract = {In a self-paced reading study on German sluicing, Paape (Paape, 2016) found that reading times were shorter at the ellipsis site when the antecedent was a temporarily ambiguous garden-path structure. As a post-hoc explanation of this finding, Paape assumed that the antecedent's memory representation was reactivated during syntactic reanalysis, making it easier to retrieve. In two eye tracking experiments, we subjected the reactivation hypothesis to further empirical scrutiny. Experiment 1, carried out in French, showed no evidence in favor in the reactivation hypothesis. Instead, results for one out of the three types of garden-path sentences that were tested suggest that subjects sometimes failed to resolve the temporary ambiguity in the antecedent clause, and subsequently failed to resolve the ellipsis. The results of Experiment 2, a conceptual replication of Paape's (Paape, 2016) original study carried out in German, are compatible with the reactivation hypothesis, but leave open the possibility that the observed speedup for ambiguous antecedents may be due to occasional retrievals of an incorrect structure.},
language = {en}
}
@article{NicenboimVasishth2016,
author = {Nicenboim, Bruno and Vasishth, Shravan},
title = {Statistical methods for linguistic research: Foundational Ideas-Part II},
series = {Language and linguistics compass},
volume = {10},
journal = {Language and linguistics compass},
publisher = {Wiley-Blackwell},
address = {Hoboken},
issn = {1749-818X},
doi = {10.1111/lnc3.12207},
pages = {591 -- 613},
year = {2016},
abstract = {We provide an introductory review of Bayesian data analytical methods, with a focus on applications for linguistics, psychology, psycholinguistics, and cognitive science. The empirically oriented researcher will benefit from making Bayesian methods part of their statistical toolkit due to the many advantages of this framework, among them easier interpretation of results relative to research hypotheses and flexible model specification. We present an informal introduction to the foundational ideas behind Bayesian data analysis, using, as an example, a linear mixed models analysis of data from a typical psycholinguistics experiment. We discuss hypothesis testing using the Bayes factor and model selection using cross-validation. We close with some examples illustrating the flexibility of model specification in the Bayesian framework. Suggestions for further reading are also provided.},
language = {en}
}
@article{PaapeVasishth2016,
author = {Paape, Dario and Vasishth, Shravan},
title = {Local Coherence and Preemptive Digging-in Effects in German},
series = {Language and speech},
volume = {59},
journal = {Language and speech},
publisher = {Sage Publ.},
address = {London},
issn = {0023-8309},
doi = {10.1177/0023830915608410},
pages = {387 -- 403},
year = {2016},
abstract = {SOPARSE predicts so-called local coherence effects: locally plausible but globally impossible parses of substrings can exert a distracting influence during sentence processing. Additionally, it predicts digging-in effects: the longer the parser stays committed to a particular analysis, the harder it becomes to inhibit that analysis. We investigated the interaction of these two predictions using German sentences. Results from a self-paced reading study show that the processing difficulty caused by a local coherence can be reduced by first allowing the globally correct parse to become entrenched, which supports SOPARSE's assumptions.},
language = {en}
}
@misc{PatilKentnerGollradetal.2008,
author = {Patil, Umesh and Kentner, Gerrit and Gollrad, Anja and K{\"u}gler, Frank and F{\´e}ry, Caroline and Vasishth, Shravan},
title = {Focus, word order and intonation in Hindi},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-46118},
year = {2008},
abstract = {A production study is presented that investigates the effects of word order and information structural context on the prosodic realization of declarative sentences in Hindi. Previous work on Hindi intonation has shown that: (i) non-final content words bear rising pitch accents (Moore 1965, Dyrud 2001, Nair 1999); (ii) focused constituents show greater pitch excursion and longer duration and that post-focal material undergoes pitch range reduction (Moore 1965, Harnsberger 1994, Harnsberger and Judge 1996); and (iii) focused constituents may be followed by a phrase break (Moore 1965). By means of a controlled experiment, we investigated the effect of focus in relation to word order variation using 1200 utterances produced by 20 speakers. Fundamental frequency (F0) and duration of constituents were measured in Subject-Object-Verb (SOV) and Object-Subject-Verb (OSV) sentences in different information structural conditions (wide focus, subject focus and object focus). The analyses indicate that (i) regardless of word order and focus, the constituents are in a strict downstep relationship; (ii) focus is mainly characterized by post-focal pitch range reduction rather than pitch raising of the element in focus; (iii) given expressions that occur pre-focally appear to undergo no reduction; (iv) pitch excursion and duration of the constituents is higher in OSV compared to SOV sentences. A phonological analysis suggests that focus affects pitch scaling and that word order influences prosodic phrasing of the constituents.},
language = {en}
}
@article{SafaviHusainVasishth2016,
author = {Safavi, Molood S. and Husain, Samar and Vasishth, Shravan},
title = {Dependency Resolution Difficulty Increases with Distance in Persian Separable Complex Predicates},
series = {Frontiers in psychology},
volume = {7},
journal = {Frontiers in psychology},
publisher = {Frontiers Research Foundation},
address = {Lausanne},
issn = {1664-1078},
doi = {10.3389/fpsyg.2016.00403},
pages = {1 -- 15},
year = {2016},
abstract = {Delaying the appearance of a verb in a noun-verb dependency tends to increase processing difficulty at the verb; one explanation for this locality effect is decay and/or interference of the noun in working memory. Surprisal, an expectation-based account, predicts that delaying the appearance of a verb either renders it no more predictable or more predictable, leading respectively to a prediction of no effect of distance or a facilitation. Recently, Husain et al. (2014) suggested that when the exact identity of the upcoming verb is predictable (strong predictability), increasing argument-verb distance leads to facilitation effects, which is consistent with surprisal; but when the exact identity of the upcoming verb is not predictable (weak predictability), locality effects are seen. We investigated Husain et al.'s proposal using Persian complex predicates (CPs), which consist of a non-verbal element—a noun in the current study—and a verb. In CPs, once the noun has been read, the exact identity of the verb is highly predictable (strong predictability); this was confirmed using a sentence completion study. In two self-paced reading (SPR) and two eye-tracking (ET) experiments, we delayed the appearance of the verb by interposing a relative clause (Experiments 1 and 3) or a long PP (Experiments 2 and 4). We also included a simple Noun-Verb predicate configuration with the same distance manipulation; here, the exact identity of the verb was not predictable (weak predictability). Thus, the design crossed Predictability Strength and Distance. We found that, consistent with surprisal, the verb in the strong predictability conditions was read faster than in the weak predictability conditions. Furthermore, greater verb-argument distance led to slower reading times; strong predictability did not neutralize or attenuate the locality effects. As regards the effect of distance on dependency resolution difficulty, these four experiments present evidence in favor of working memory accounts of argument-verb dependency resolution, and against the surprisal-based expectation account of Levy (2008). However, another expectation-based measure, entropy, which was computed using the offline sentence completion data, predicts reading times in Experiment 1 but not in the other experiments. Because participants tend to produce more ungrammatical continuations in the long-distance condition in Experiment 1, we suggest that forgetting due to memory overload leads to greater entropy at the verb.},
language = {en}
}
@article{RabeChandraKruegeletal.2021,
author = {Rabe, Maximilian Michael and Chandra, Johan and Kr{\"u}gel, Andr{\´e} and Seelig, Stefan A. and Vasishth, Shravan and Engbert, Ralf},
title = {A bayesian approach to dynamical modeling of eye-movement control in reading of normal, mirrored, and scrambled texts},
series = {Psychological Review},
volume = {128},
journal = {Psychological Review},
number = {5},
publisher = {American Psychological Association},
address = {Washington},
issn = {0033-295X},
doi = {10.1037/rev0000268},
pages = {803 -- 823},
year = {2021},
abstract = {In eye-movement control during reading, advanced process-oriented models have been developed to reproduce behavioral data. So far, model complexity and large numbers of model parameters prevented rigorous statistical inference and modeling of interindividual differences. Here we propose a Bayesian approach to both problems for one representative computational model of sentence reading (SWIFT; Engbert et al., Psychological Review, 112, 2005, pp. 777-813). We used experimental data from 36 subjects who read the text in a normal and one of four manipulated text layouts (e.g., mirrored and scrambled letters). The SWIFT model was fitted to subjects and experimental conditions individually to investigate between- subject variability. Based on posterior distributions of model parameters, fixation probabilities and durations are reliably recovered from simulated data and reproduced for withheld empirical data, at both the experimental condition and subject levels. A subsequent statistical analysis of model parameters across reading conditions generates model-driven explanations for observable effects between conditions.},
language = {en}
}
@article{JaegerBenzRoeseretal.2015,
author = {J{\"a}ger, Lena Ann and Benz, Lena and Roeser, Jens and Dillon, Brian W. and Vasishth, Shravan},
title = {Teasing apart retrieval and encoding interference in the processing of anaphors},
series = {Frontiers in psychology},
volume = {6},
journal = {Frontiers in psychology},
publisher = {Frontiers Research Foundation},
address = {Lausanne},
issn = {1664-1078},
doi = {10.3389/fpsyg.2015.00506},
pages = {18},
year = {2015},
abstract = {Two classes of account have been proposed to explain the memory processes subserving the processing of reflexive-antecedent dependencies. Structure-based accounts assume that the retrieval of the antecedent is guided by syntactic tree-configurational information without considering other kinds of information such as gender marking in the case of English reflexives. By contrast, unconstrained cue-based retrieval assumes that all available information is used for retrieving the antecedent. Similarity-based interference effects from structurally illicit distractors which match a non-structural retrieval cue have been interpreted as evidence favoring the unconstrained cue-based retrieval account since cue-based retrieval interference from structurally illicit distractors is incompatible with the structure-based account. However, it has been argued that the observed effects do not necessarily reflect interference occurring at the moment of retrieval but might equally well be accounted for by interference occurring already at the stage of encoding or maintaining the antecedent in memory, in which case they cannot be taken as evidence against the structure-based account. We present three experiments (self-paced reading and eye-tracking) on German reflexives and Swedish reflexive and pronominal possessives in which we pit the predictions of encoding interference and cue-based retrieval interference against each other. We could not find any indication that encoding interference affects the processing ease of the reflexive-antecedent dependency formation. Thus, there is no evidence that encoding interference might be the explanation for the interference effects observed in previous work. We therefore conclude that invoking encoding interference may not be a plausible way to reconcile interference effects with a structure-based account of reflexive processing.},
language = {en}
}
@misc{NicenboimLogacevGatteietal.2016,
author = {Nicenboim, Bruno and Logacev, Pavel and Gattei, Carolina and Vasishth, Shravan},
title = {When High-Capacity Readers Slow Down and Low-Capacity Readers Speed Up},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-90663},
pages = {1 -- 24},
year = {2016},
abstract = {We examined the effects of argument-head distance in SVO and SOV languages (Spanish and German), while taking into account readers' working memory capacity and controlling for expectation (Levy, 2008) and other factors. We predicted only locality effects, that is, a slowdown produced by increased dependency distance (Gibson, 2000; Lewis and Vasishth, 2005). Furthermore, we expected stronger locality effects for readers with low working memory capacity. Contrary to our predictions, low-capacity readers showed faster reading with increased distance, while high-capacity readers showed locality effects. We suggest that while the locality effects are compatible with memory-based explanations, the speedup of low-capacity readers can be explained by an increased probability of retrieval failure. We present a computational model based on ACT-R built under the previous assumptions, which is able to give a qualitative account for the present data and can be tested in future research. Our results suggest that in some cases, interpreting longer RTs as indexing increased processing difficulty and shorter RTs as facilitation may be too simplistic: The same increase in processing difficulty may lead to slowdowns in high-capacity readers and speedups in low-capacity ones. Ignoring individual level capacity differences when investigating locality effects may lead to misleading conclusions.},
language = {en}
}
@misc{SafaviHusainVasishth2016,
author = {Safavi, Molood S. and Husain, Samar and Vasishth, Shravan},
title = {Dependency Resolution Difficulty Increases with Distance in Persian Separable Complex Predicates},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-90728},
pages = {1 -- 15},
year = {2016},
abstract = {Delaying the appearance of a verb in a noun-verb dependency tends to increase processing difficulty at the verb; one explanation for this locality effect is decay and/or interference of the noun in working memory. Surprisal, an expectation-based account, predicts that delaying the appearance of a verb either renders it no more predictable or more predictable, leading respectively to a prediction of no effect of distance or a facilitation. Recently, Husain et al. (2014) suggested that when the exact identity of the upcoming verb is predictable (strong predictability), increasing argument-verb distance leads to facilitation effects, which is consistent with surprisal; but when the exact identity of the upcoming verb is not predictable (weak predictability), locality effects are seen. We investigated Husain et al.'s proposal using Persian complex predicates (CPs), which consist of a non-verbal element—a noun in the current study—and a verb. In CPs, once the noun has been read, the exact identity of the verb is highly predictable (strong predictability); this was confirmed using a sentence completion study. In two self-paced reading (SPR) and two eye-tracking (ET) experiments, we delayed the appearance of the verb by interposing a relative clause (Experiments 1 and 3) or a long PP (Experiments 2 and 4). We also included a simple Noun-Verb predicate configuration with the same distance manipulation; here, the exact identity of the verb was not predictable (weak predictability). Thus, the design crossed Predictability Strength and Distance. We found that, consistent with surprisal, the verb in the strong predictability conditions was read faster than in the weak predictability conditions. Furthermore, greater verb-argument distance led to slower reading times; strong predictability did not neutralize or attenuate the locality effects. As regards the effect of distance on dependency resolution difficulty, these four experiments present evidence in favor of working memory accounts of argument-verb dependency resolution, and against the surprisal-based expectation account of Levy (2008). However, another expectation-based measure, entropy, which was computed using the offline sentence completion data, predicts reading times in Experiment 1 but not in the other experiments. Because participants tend to produce more ungrammatical continuations in the long-distance condition in Experiment 1, we suggest that forgetting due to memory overload leads to greater entropy at the verb.},
language = {en}
}
@misc{LogačevVasishth2016,
author = {Logačev, Pavel and Vasishth, Shravan},
title = {Understanding underspecification},
doi = {10.1080/17470218.2015.1134602},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-93441},
pages = {996 -- 1012},
year = {2016},
abstract = {Swets et al. (2008. Underspecification of syntactic ambiguities: Evidence from self-paced reading. Memory and Cognition, 36(1), 201-216) presented evidence that the so-called ambiguity advantage [Traxler et al. (1998). Adjunct attachment is not a form of lexical ambiguity resolution. Journal of Memory and Language, 39(4), 558-592], which has been explained in terms of the Unrestricted Race Model, can equally well be explained by assuming underspecification in ambiguous conditions driven by task-demands. Specifically, if comprehension questions require that ambiguities be resolved, the parser tends to make an attachment: when questions are about superficial aspects of the target sentence, readers tend to pursue an underspecification strategy. It is reasonable to assume that individual differences in strategy will play a significant role in the application of such strategies, so that studying average behaviour may not be informative. In order to study the predictions of the good-enough processing theory, we implemented two versions of underspecification: the partial specification model (PSM), which is an implementation of the Swets et al. proposal, and a more parsimonious version, the non-specification model (NSM). We evaluate the relative fit of these two kinds of underspecification to Swets et al.'s data; as a baseline, we also fitted three models that assume no underspecification. We find that a model without underspecification provides a somewhat better fit than both underspecification models, while the NSM model provides a better fit than the PSM. We interpret the results as lack of unambiguous evidence in favour of underspecification; however, given that there is considerable existing evidence for good-enough processing in the literature, it is reasonable to assume that some underspecification might occur. Under this assumption, the results can be interpreted as tentative evidence for NSM over PSM. More generally, our work provides a method for choosing between models of real-time processes in sentence comprehension that make qualitative predictions about the relationship between several dependent variables. We believe that sentence processing research will greatly benefit from a wider use of such methods.},
language = {en}
}
@article{NicenboimLogacevGatteietal.2016,
author = {Nicenboim, Bruno and Logacev, Pavel and Gattei, Carolina and Vasishth, Shravan},
title = {When High-Capacity Readers Slow Down and Low-Capacity Readers Speed Up},
series = {Frontiers in psychology},
volume = {7},
journal = {Frontiers in psychology},
publisher = {Frontiers Research Foundation},
address = {Lausanne},
issn = {1664-1078},
doi = {10.3389/fpsyg.2016.00280},
pages = {1 -- 24},
year = {2016},
abstract = {We examined the effects of argument-head distance in SVO and SOV languages (Spanish and German), while taking into account readers' working memory capacity and controlling for expectation (Levy, 2008) and other factors. We predicted only locality effects, that is, a slowdown produced by increased dependency distance (Gibson, 2000; Lewis and Vasishth, 2005). Furthermore, we expected stronger locality effects for readers with low working memory capacity. Contrary to our predictions, low-capacity readers showed faster reading with increased distance, while high-capacity readers showed locality effects. We suggest that while the locality effects are compatible with memory-based explanations, the speedup of low-capacity readers can be explained by an increased probability of retrieval failure. We present a computational model based on ACT-R built under the previous assumptions, which is able to give a qualitative account for the present data and can be tested in future research. Our results suggest that in some cases, interpreting longer RTs as indexing increased processing difficulty and shorter RTs as facilitation may be too simplistic: The same increase in processing difficulty may lead to slowdowns in high-capacity readers and speedups in low-capacity ones. Ignoring individual level capacity differences when investigating locality effects may lead to misleading conclusions.},
language = {en}
}
@article{LewisVasishth2005,
author = {Lewis, R. L. and Vasishth, Shravan},
title = {An activation-based model of sentence processing as skilled memory retrieval},
issn = {0364-0213},
year = {2005},
abstract = {We present a detailed process theory of the moment-by-moment working-memory retrievals and associated control structure that subserve sentence comprehension. The theory is derived from the application of independently motivated principles of memory and cognitive skill to the specialized task of sentence parsing. The resulting theory construes sentence processing as a series of skilled associative memory retrievals modulated by similarity-based interference and fluctuating activation. The cognitive principles are formalized in computational form in the Adaptive Control of Thought- Rational (ACT-R) architecture, and our process model is realized in ACT-R. We present the results of 6 sets of simulations: 5 simulation sets provide quantitative accounts of the effects of length and structural interference on both unambiguous and garden-path structures. A final simulation set provides a graded taxonomy of double center embeddings ranging from relatively easy to extremely difficult. The explanation of center-embedding difficulty is a novel one that derives from the model's complete reliance on discriminating retrieval cues in the absence of an explicit representation of serial order information. All fits were obtained with only 1 free scaling parameter fixed across the simulations; all other parameters were ACT-R defaults. The modeling results support the hypothesis that fluctuating activation and similarity-based interference are the key factors shaping working memory in sentence processing. We contrast the theory and empirical predictions with several related accounts of sentence-processing complexity},
language = {en}
}
@article{VasishthSuckowLewisetal.2010,
author = {Vasishth, Shravan and Suckow, Katja and Lewis, Richard L. and Kern, Sabine},
title = {Short-term forgetting in sentence comprehension : crosslinguistic evidence from verb-final structures},
issn = {0169-0965},
doi = {10.1080/01690960903310587},
year = {2010},
abstract = {Seven experiments using self-paced reading and eyetracking suggest that omitting the middle verb in a double centre embedding leads to easier processing in English but leads to greater difficulty in German. One commonly accepted explanation for the English pattern-based on data from offline acceptability ratings and due to Gibson and Thomas (1999)- is that working-memory overload leads the comprehender to forget the prediction of the upcoming verb phrase (VP), which reduces working-memory load. We show that this VP-forgetting hypothesis does an excellent job of explaining the English data, but cannot account for the German results. We argue that the English and German results can be explained by the parser's adaptation to the grammatical properties of the languages; in contrast to English, German subordinate clauses always have the verb in clause-final position, and this property of German may lead the German parser to maintain predictions of upcoming VPs more robustly compared to English. The evidence thus argues against language- independent forgetting effects in online sentence processing; working-memory constraints can be conditioned by countervailing influences deriving from grammatical properties of the language under study.},
language = {en}
}
@book{HanneSekerinaVasishthetal.2009,
author = {Hanne, Sandra and Sekerina, Irina and Vasishth, Shravan and Burchert, Frank and De Bleser, Ria},
title = {Online Satzverarbeitung kanonischer und nicht-kanonischer S{\"a}tze bei Agrammatismus : eine Blickbewegungsstudie},
year = {2009},
language = {de}
}
@article{VasishthGelman2021,
author = {Vasishth, Shravan and Gelman, Andrew},
title = {How to embrace variation and accept uncertainty in linguistic and psycholinguistic data analysis},
series = {Linguistics : an interdisciplinary journal of the language sciences},
volume = {59},
journal = {Linguistics : an interdisciplinary journal of the language sciences},
number = {5},
publisher = {De Gruyter Mouton},
address = {Berlin},
issn = {0024-3949},
doi = {10.1515/ling-2019-0051},
pages = {1311 -- 1342},
year = {2021},
abstract = {The use of statistical inference in linguistics and related areas like psychology typically involves a binary decision: either reject or accept some null hypothesis using statistical significance testing. When statistical power is low, this frequentist data-analytic approach breaks down: null results are uninformative, and effect size estimates associated with significant results are overestimated. Using an example from psycholinguistics, several alternative approaches are demonstrated for reporting inconsistencies between the data and a theoretical prediction. The key here is to focus on committing to a falsifiable prediction, on quantifying uncertainty statistically, and learning to accept the fact that - in almost all practical data analysis situations - we can only draw uncertain conclusions from data, regardless of whether we manage to obtain statistical significance or not. A focus on uncertainty quantification is likely to lead to fewer excessively bold claims that, on closer investigation, may turn out to be not supported by the data.},
language = {en}
}
@misc{JaegerEngelmannVasishth2015,
author = {J{\"a}ger, Lena Ann and Engelmann, Felix and Vasishth, Shravan},
title = {Retrieval interference in reflexive processing},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-78738},
year = {2015},
abstract = {We conducted two eye-tracking experiments investigating the processing of the Mandarin reflexive ziji in order to tease apart structurally constrained accounts from standard cue-based accounts of memory retrieval. In both experiments, we tested whether structurally inaccessible distractors that fulfill the animacy requirement of ziji influence processing times at the reflexive. In Experiment 1, we manipulated animacy of the antecedent and a structurally inaccessible distractor intervening between the antecedent and the reflexive. In conditions where the accessible antecedent mismatched the animacy cue, we found inhibitory interference whereas in antecedent-match conditions, no effect of the distractor was observed. In Experiment 2, we tested only antecedent-match configurations and manipulated locality of the reflexive-antecedent binding (Mandarin allows non-local binding). Participants were asked to hold three distractors (animate vs. inanimate nouns) in memory while reading the target sentence. We found slower reading times when animate distractors were held in memory (inhibitory interference). Moreover, we replicated the locality effect reported in previous studies. These results are incompatible with structure-based accounts. However, the cue-based ACT-R model of Lewis and Vasishth (2005) cannot explain the observed pattern either. We therefore extend the original ACT-R model and show how this model not only explains the data presented in this article, but is also able to account for previously unexplained patterns in the literature on reflexive processing.},
language = {en}
}
@misc{JaegerBenzRoeseretal.2015,
author = {J{\"a}ger, Lena Ann and Benz, Lena and Roeser, Jens and Dillon, Brian W. and Vasishth, Shravan},
title = {Teasing apart Retrieval and Encoding Interference in the Processing of Anaphors},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-78714},
year = {2015},
abstract = {Two classes of account have been proposed to explain the memory processes subserving the processing of reflexive-antecedent dependencies. Structure-based accounts assume that the retrieval of the antecedent is guided by syntactic tree-configurational information without considering other kinds of information such as gender marking in the case of English reflexives. By contrast, unconstrained cue-based retrieval assumes that all available information is used for retrieving the antecedent. Similarity-based interference effects from structurally illicit distractors which match a non-structural retrieval cue have been interpreted as evidence favoring the unconstrained cue-based retrieval account since cue-based retrieval interference from structurally illicit distractors is incompatible with the structure-based account. However, it has been argued that the observed effects do not necessarily reflect interference occurring at the moment of retrieval but might equally well be accounted for by interference occurring already at the stage of encoding or maintaining the antecedent in memory, in which case they cannot be taken as evidence against the structure-based account. We present three experiments (self-paced reading and eye-tracking) on German reflexives and Swedish reflexive and pronominal possessives in which we pit the predictions of encoding interference and cue-based retrieval interference against each other. We could not find any indication that encoding interference affects the processing ease of the reflexive-antecedent dependency formation. Thus, there is no evidence that encoding interference might be the explanation for the interference effects observed in previous work. We therefore conclude that invoking encoding interference may not be a plausible way to reconcile interference effects with a structure-based account of reflexive processing.},
language = {en}
}
@article{HanneBurchertVasishth2015,
author = {Hanne, Sandra and Burchert, Frank and Vasishth, Shravan},
title = {Satzverst{\"a}ndnisst{\"o}rungen bei Aphasie},
series = {Spektrum Patholinguistik (Band 8) - Schwerpunktthema: Besonders behandeln? : Sprachtherapie im Rahmen prim{\"a}rer St{\"o}rungsbilder},
journal = {Spektrum Patholinguistik (Band 8) - Schwerpunktthema: Besonders behandeln? : Sprachtherapie im Rahmen prim{\"a}rer St{\"o}rungsbilder},
publisher = {Universit{\"a}tsverlag Potsdam},
address = {Potsdam},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-79758},
pages = {71 -- 93},
year = {2015},
language = {de}
}
@article{HanneBurchertVasishth2016,
author = {Hanne, Sandra and Burchert, Frank and Vasishth, Shravan},
title = {On the nature of the subject-object asymmetry in wh-question comprehension in aphasia: evidence from eye tracking},
series = {Aphasiology : an international, interdisciplinary journal},
volume = {30},
journal = {Aphasiology : an international, interdisciplinary journal},
publisher = {American Chemical Society},
address = {Abingdon},
issn = {0268-7038},
doi = {10.1080/02687038.2015.1065469},
pages = {435 -- 462},
year = {2016},
abstract = {Background: Individuals with aphasia (IWA) show deficits in comprehending object-extracted declaratives while comprehension of subject-extracted structures is relatively preserved. It is a matter of debate whether this subject-object asymmetry also arises for comprehension of wh-questions. Successful comprehension of wh-questions critically entails correct resolution of a filler-gap dependency. Most previous studies have used only offline accuracy measures to investigate wh-question comprehension in aphasia. Online studies exploring syntactic processing in real time are needed in order to draw inferences about gap-filling abilities in IWA and to identify the point of breakdown in sentence comprehension. Aims: This study aimed at investigating processing of subject and object who-questions in German-speaking IWA and in a group of controls by combining an offline and online method. We further aimed to explore the impact of case-marking cues on processing of wh-questions. Methods \& Procedures: Applying a variant of the visual world eye-tracking paradigm, we measured participants' eye movements while they performed the same offline task, which is frequently used to assess comprehension of declaratives (sentence-picture matching). Outcomes \& Results: Concerning online processing of who-questions in controls, we found anticipation of the most likely post-verbal theta-role immediately after processing the case-marked wh-pronoun in both subject and object questions. In addition, we observed an unexpected advantage of object over subject questions in terms of processing time. The offline results for IWA revealed that there were three heterogeneous patterns: (a) symmetrical comprehension with equal impairments for both question types, (b) asymmetrical performance with better comprehension of subject than object who-questions, and (c) a reversed asymmetry with better comprehension of object as compared to subject questions. For online processing of both types of who-questions, IWA showed retained abilities in postulating the gap and in associating the filler with this gap, although they were slower as compared to controls. Moreover, similarly to controls, they anticipated the most likely post-verbal theta-role. Conclusions: For controls, the findings provide evidence for rapid resolution of the filler-gap dependency and incremental processing of case-marking cues, reflected in early prediction of upcoming syntactic structure. We attribute faster processing of object questions to faster alignment of the anticipated element with a semantically more salient character. For IWA, the online data provide evidence for retained predictive abilities in processing of filler-gap dependencies in wh-questions, but prediction was delayed. This is most likely attributed to delayed integration of case-marking cues.},
language = {en}
}
@article{LogacevVasishth2016,
author = {Logacev, Pavel and Vasishth, Shravan},
title = {Understanding underspecification: A comparison of two computational implementations},
series = {The quarterly journal of experimental psychology},
volume = {69},
journal = {The quarterly journal of experimental psychology},
publisher = {BioMed Central},
address = {Abingdon},
issn = {1747-0218},
doi = {10.1080/17470218.2015.1134602},
pages = {996 -- 1012},
year = {2016},
abstract = {Swets et al. (2008. Underspecification of syntactic ambiguities: Evidence from self-paced reading. Memory and Cognition, 36(1), 201-216) presented evidence that the so-called ambiguity advantage [Traxler et al. (1998 Traxler, M. J., Pickering, M. J., \& Clifton, C. (1998). Adjunct attachment is not a form of lexical ambiguity resolution. Journal of Memory and Language, 39(4), 558-592. doi: 10.1006/jmla.1998.2600[CrossRef], [Web of Science ®], [Google Scholar]). Adjunct attachment is not a form of lexical ambiguity resolution. Journal of Memory and Language, 39(4), 558-592], which has been explained in terms of the Unrestricted Race Model, can equally well be explained by assuming underspecification in ambiguous conditions driven by task-demands. Specifically, if comprehension questions require that ambiguities be resolved, the parser tends to make an attachment: when questions are about superficial aspects of the target sentence, readers tend to pursue an underspecification strategy. It is reasonable to assume that individual differences in strategy will play a significant role in the application of such strategies, so that studying average behaviour may not be informative. In order to study the predictions of the good-enough processing theory, we implemented two versions of underspecification: the partial specification model (PSM), which is an implementation of the Swets et al. proposal, and a more parsimonious version, the non-specification model (NSM). We evaluate the relative fit of these two kinds of underspecification to Swets et al.'s data; as a baseline, we also fitted three models that assume no underspecification. We find that a model without underspecification provides a somewhat better fit than both underspecification models, while the NSM model provides a better fit than the PSM. We interpret the results as lack of unambiguous evidence in favour of underspecification; however, given that there is considerable existing evidence for good-enough processing in the literature, it is reasonable to assume that some underspecification might occur. Under this assumption, the results can be interpreted as tentative evidence for NSM over PSM. More generally, our work provides a method for choosing between models of real-time processes in sentence comprehension that make qualitative predictions about the relationship between several dependent variables. We believe that sentence processing research will greatly benefit from a wider use of such methods.},
language = {en}
}
@article{PatilHanneBurchertetal.2016,
author = {Patil, Umesh and Hanne, Sandra and Burchert, Frank and De Bleser, Ria and Vasishth, Shravan},
title = {A Computational Evaluation of Sentence Processing Deficits in Aphasia},
series = {Cognitive science : a multidisciplinary journal of anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, psychology ; journal of the Cognitive Science Society},
volume = {40},
journal = {Cognitive science : a multidisciplinary journal of anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, psychology ; journal of the Cognitive Science Society},
publisher = {Wiley-Blackwell},
address = {Hoboken},
issn = {0364-0213},
doi = {10.1111/cogs.12250},
pages = {5 -- 50},
year = {2016},
abstract = {Individuals with agrammatic Broca's aphasia experience difficulty when processing reversible non-canonical sentences. Different accounts have been proposed to explain this phenomenon. The Trace Deletion account (Grodzinsky, 1995, 2000, 2006) attributes this deficit to an impairment in syntactic representations, whereas others (e.g., Caplan, Waters, Dede, Michaud, \& Reddy, 2007; Haarmann, Just, \& Carpenter, 1997) propose that the underlying structural representations are unimpaired, but sentence comprehension is affected by processing deficits, such as slow lexical activation, reduction in memory resources, slowed processing and/or intermittent deficiency, among others. We test the claims of two processing accounts, slowed processing and intermittent deficiency, and two versions of the Trace Deletion Hypothesis (TDH), in a computational framework for sentence processing (Lewis \& Vasishth, 2005) implemented in ACT-R (Anderson, Byrne, Douglass, Lebiere, \& Qin, 2004). The assumption of slowed processing is operationalized as slow procedural memory, so that each processing action is performed slower than normal, and intermittent deficiency as extra noise in the procedural memory, so that the parsing steps are more noisy than normal. We operationalize the TDH as an absence of trace information in the parse tree. To test the predictions of the models implementing these theories, we use the data from a German sentence—picture matching study reported in Hanne, Sekerina, Vasishth, Burchert, and De Bleser (2011). The data consist of offline (sentence-picture matching accuracies and response times) and online (eye fixation proportions) measures. From among the models considered, the model assuming that both slowed processing and intermittent deficiency are present emerges as the best model of sentence processing difficulty in aphasia. The modeling of individual differences suggests that, if we assume that patients have both slowed processing and intermittent deficiency, they have them in differing degrees.},
language = {en}
}
@article{PatilVasishthLewis2016,
author = {Patil, Umesh and Vasishth, Shravan and Lewis, Richard L.},
title = {Retrieval Interference in Syntactic Processing: The Case of Reflexive Binding in English},
series = {Frontiers in psychology},
volume = {7},
journal = {Frontiers in psychology},
publisher = {Frontiers Research Foundation},
address = {Lausanne},
issn = {1664-1078},
doi = {10.3389/fpsyg.2016.00329},
pages = {18},
year = {2016},
abstract = {It has been proposed that in online sentence comprehension the dependency between a reflexive pronoun such as himself/herself and its antecedent is resolved using exclusively syntactic constraints. Under this strictly syntactic search account, Principle A of the binding theory—which requires that the antecedent c-command the reflexive within the same clause that the reflexive occurs in—constrains the parser's search for an antecedent. The parser thus ignores candidate antecedents that might match agreement features of the reflexive (e.g., gender) but are ineligible as potential antecedents because they are in structurally illicit positions. An alternative possibility accords no special status to structural constraints: in addition to using Principle A, the parser also uses non-structural cues such as gender to access the antecedent. According to cue-based retrieval theories of memory (e.g., Lewis and Vasishth, 2005), the use of non-structural cues should result in increased retrieval times and occasional errors when candidates partially match the cues, even if the candidates are in structurally illicit positions. In this paper, we first show how the retrieval processes that underlie the reflexive binding are naturally realized in the Lewis and Vasishth (2005) model. We present the predictions of the model under the assumption that both structural and non-structural cues are used during retrieval, and provide a critical analysis of previous empirical studies that failed to find evidence for the use of non-structural cues, suggesting that these failures may be Type II errors. We use this analysis and the results of further modeling to motivate a new empirical design that we use in an eye tracking study. The results of this study confirm the key predictions of the model concerning the use of non-structural cues, and are inconsistent with the strictly syntactic search account. These results present a challenge for theories advocating the infallibility of the human parser in the case of reflexive resolution, and provide support for the inclusion of agreement features such as gender in the set of retrieval cues.},
language = {en}
}
@article{LogacevVasishth2016,
author = {Logacev, Pavel and Vasishth, Shravan},
title = {A Multiple-Channel Model of Task-Dependent Ambiguity Resolution in Sentence Comprehension},
series = {Cognitive science : a multidisciplinary journal of anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, psychology ; journal of the Cognitive Science Society},
volume = {40},
journal = {Cognitive science : a multidisciplinary journal of anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, psychology ; journal of the Cognitive Science Society},
publisher = {Wiley-Blackwell},
address = {Hoboken},
issn = {0364-0213},
doi = {10.1111/cogs.12228},
pages = {266 -- 298},
year = {2016},
abstract = {Traxler, Pickering, and Clifton (1998) found that ambiguous sentences are read faster than their unambiguous counterparts. This so-called ambiguity advantage has presented a major challenge to classical theories of human sentence comprehension (parsing) because its most prominent explanation, in the form of the unrestricted race model (URM), assumes that parsing is non-deterministic. Recently, Swets, Desmet, Clifton, and Ferreira (2008) have challenged the URM. They argue that readers strategically underspecify the representation of ambiguous sentences to save time, unless disambiguation is required by task demands. When disambiguation is required, however, readers assign sentences full structure—and Swets et al. provide experimental evidence to this end. On the basis of their findings, they argue against the URM and in favor of a model of task-dependent sentence comprehension. We show through simulations that the Swets et al. data do not constitute evidence for task-dependent parsing because they can be explained by the URM. However, we provide decisive evidence from a German self-paced reading study consistent with Swets et al.'s general claim about task-dependent parsing. Specifically, we show that under certain conditions, ambiguous sentences can be read more slowly than their unambiguous counterparts, suggesting that the parser may create several parses, when required. Finally, we present the first quantitative model of task-driven disambiguation that subsumes the URM, and we show that it can explain both Swets et al.'s results and our findings.},
language = {en}
}
@article{JaegerBenzRoeseretal.2015,
author = {J{\"a}ger, Lena Ann and Benz, Lena and Roeser, Jens and Dillon, Brian W. and Vasishth, Shravan},
title = {Teasing apart retrieval and encoding interference in the processing of anaphors},
series = {Frontiers in psychology},
volume = {6},
journal = {Frontiers in psychology},
number = {506},
publisher = {Frontiers Research Foundation},
address = {Lausanne},
issn = {1664-1078},
doi = {10.3389/fpsyg.2015.00506},
year = {2015},
abstract = {Two classes of account have been proposed to explain the memory processes subserving the processing of reflexive-antecedent dependencies. Structure-based accounts assume that the retrieval of the antecedent is guided by syntactic tree-configurational information without considering other kinds of information such as gender marking in the case of English reflexives. By contrast, unconstrained cue-based retrieval assumes that all available information is used for retrieving the antecedent. Similarity-based interference effects from structurally illicit distractors which match a non-structural retrieval cue have been interpreted as evidence favoring the unconstrained cue-based retrieval account since cue-based retrieval interference from structurally illicit distractors is incompatible with the structure-based account. However, it has been argued that the observed effects do not necessarily reflect interference occurring at the moment of retrieval but might equally well be accounted for by interference occurring already at the stage of encoding or maintaining the antecedent in memory, in which case they cannot be taken as evidence against the structure-based account. We present three experiments (self-paced reading and eye-tracking) on German reflexives and Swedish reflexive and pronominal possessives in which we pit the predictions of encoding interference and cue-based retrieval interference against each other. We could not find any indication that encoding interference affects the processing ease of the reflexive-antecedent dependency formation. Thus, there is no evidence that encoding interference might be the explanation for the interference effects observed in previous work. We therefore conclude that invoking encoding interference may not be a plausible way to reconcile interference effects with a structure-based account of reflexive processing.},
language = {en}
}
@article{JaegerEngelmannVasishth2015,
author = {J{\"a}ger, Lena Ann and Engelmann, Felix and Vasishth, Shravan},
title = {Retrieval interference in reflexive processing},
series = {Frontiers in psychology},
volume = {6},
journal = {Frontiers in psychology},
number = {617},
publisher = {Frontiers Research Foundation},
address = {Lausanne},
issn = {1664-1078},
doi = {10.3389/fpsyg.2015.00617},
year = {2015},
abstract = {We conducted two eye-tracking experiments investigating the processing of the Mandarin reflexive ziji in order to tease apart structurally constrained accounts from standard cue-based accounts of memory retrieval. In both experiments, we tested whether structurally inaccessible distractors that fulfill the animacy requirement of ziji influence processing times at the reflexive. In Experiment 1, we manipulated animacy of the antecedent and a structurally inaccessible distractor intervening between the antecedent and the reflexive. In conditions where the accessible antecedent mismatched the animacy cue, we found inhibitory interference whereas in antecedent-match conditions, no effect of the distractor was observed. In Experiment 2, we tested only antecedent-match configurations and manipulated locality of the reflexive-antecedent binding (Mandarin allows non-local binding). Participants were asked to hold three distractors (animate vs. inanimate nouns) in memory while reading the target sentence. We found slower reading times when animate distractors were held in memory (inhibitory interference). Moreover, we replicated the locality effect reported in previous studies. These results are incompatible with structure-based accounts. However, the cue-based ACT-R model of Lewis and Vasishth (2005) cannot explain the observed pattern either. We therefore extend the original ACT-R model and show how this model not only explains the data presented in this article, but is also able to account for previously unexplained patterns in the literature on reflexive processing.},
language = {en}
}
@article{SchadVasishth2022,
author = {Schad, Daniel and Vasishth, Shravan},
title = {The posterior probability of a null hypothesis given a statistically significant result},
series = {The quantitative methods for psychology},
volume = {18},
journal = {The quantitative methods for psychology},
number = {2},
publisher = {University of Montreal, Department of Psychology},
address = {Montreal},
issn = {1913-4126},
doi = {10.20982/tqmp.18.2.p011},
pages = {130 -- 141},
year = {2022},
abstract = {When researchers carry out a null hypothesis significance test, it is tempting to assume that a statistically significant result lowers Prob(H0), the probability of the null hypothesis being true. Technically, such a statement is meaningless for various reasons: e.g., the null hypothesis does not have a probability associated with it. However, it is possible to relax certain assumptions to compute the posterior probability Prob(H0) under repeated sampling. We show in a step-by-step guide that the intuitively appealing belief, that Prob(H0) is low when significant results have been obtained under repeated sampling, is in general incorrect and depends greatly on: (a) the prior probability of the null being true; (b) type-I error rate, (c) type-II error rate, and (d) replication of a result. Through step-by-step simulations using open-source code in the R System of Statistical Computing, we show that uncertainty about the null hypothesis being true often remains high despite a significant result. To help the reader develop intuitions about this common misconception, we provide a Shiny app (https://danielschad.shinyapps.io/probnull/). We expect that this tutorial will help researchers better understand and judge results from null hypothesis significance tests.},
language = {en}
}
@article{PaapeAvetisyanLagoetal.2021,
author = {Paape, Dario and Avetisyan, Serine and Lago, Sol and Vasishth, Shravan},
title = {Modeling misretrieval and feature substitution in agreement attraction},
series = {Cognitive science},
volume = {45},
journal = {Cognitive science},
number = {8},
publisher = {Wiley-Blackwell},
address = {Malden, Mass.},
issn = {0364-0213},
doi = {10.1111/cogs.13019},
pages = {30},
year = {2021},
abstract = {We present computational modeling results based on a self-paced reading study investigating number attraction effects in Eastern Armenian. We implement three novel computational models of agreement attraction in a Bayesian framework and compare their predictive fit to the data using k-fold cross-validation. We find that our data are better accounted for by an encoding-based model of agreement attraction, compared to a retrieval-based model. A novel methodological contribution of our study is the use of comprehension questions with open-ended responses, so that both misinterpretation of the number feature of the subject phrase and misassignment of the thematic subject role of the verb can be investigated at the same time. We find evidence for both types of misinterpretation in our study, sometimes in the same trial. However, the specific error patterns in our data are not fully consistent with any previously proposed model.},
language = {en}
}
@article{AvetisyanLagoVasishth2020,
author = {Avetisyan, Serine and Lago, Sol and Vasishth, Shravan},
title = {Does case marking affect agreement attraction in comprehension?},
series = {Journal of memory and language},
volume = {112},
journal = {Journal of memory and language},
publisher = {Elsevier},
address = {San Diego},
issn = {0749-596X},
doi = {10.1016/j.jml.2020.104087},
pages = {18},
year = {2020},
abstract = {Previous studies have suggested that distinctive case marking on noun phrases reduces attraction effects in production, i.e., the tendency to produce a verb that agrees with a nonsubject noun. An important open question is whether attraction effects are modulated by case information in sentence comprehension. To address this question, we conducted three attraction experiments in Armenian, a language with a rich and productive case system. The experiments showed clear attraction effects, and they also revealed an overall role of case marking such that participants showed faster response and reading times when the nouns in the sentence had different case. However, we found little indication that distinctive case marking modulated attraction effects. We present a theoretical proposal of how case and number information may be used differentially during agreement licensing in comprehension. More generally, this work sheds light on the nature of the retrieval cues deployed when completing morphosyntactic dependencies.},
language = {en}
}
@article{SchadBetancourtVasishth2021,
author = {Schad, Daniel and Betancourt, Michael and Vasishth, Shravan},
title = {Toward a principled Bayesian workflow in cognitive science},
series = {Psychological methods},
volume = {26},
journal = {Psychological methods},
number = {1},
publisher = {American Psychological Association},
address = {Washington},
issn = {1082-989X},
doi = {10.1037/met0000275},
pages = {103 -- 126},
year = {2021},
abstract = {Experiments in research on memory, language, and in other areas of cognitive science are increasingly being analyzed using Bayesian methods. This has been facilitated by the development of probabilistic programming languages such as Stan, and easily accessible front-end packages such as brms. The utility of Bayesian methods, however, ultimately depends on the relevance of the Bayesian model, in particular whether or not it accurately captures the structure of the data and the data analyst's domain expertise. Even with powerful software, the analyst is responsible for verifying the utility of their model. To demonstrate this point, we introduce a principled Bayesian workflow (Betancourt, 2018) to cognitive science. Using a concrete working example, we describe basic questions one should ask about the model: prior predictive checks, computational faithfulness, model sensitivity, and posterior predictive checks. The running example for demonstrating the workflow is data on reading times with a linguistic manipulation of object versus subject relative clause sentences. This principled Bayesian workflow also demonstrates how to use domain knowledge to inform prior distributions. It provides guidelines and checks for valid data analysis, avoiding overfitting complex models to noise, and capturing relevant data structure in a probabilistic model. Given the increasing use of Bayesian methods, we aim to discuss how these methods can be properly employed to obtain robust answers to scientific questions.},
language = {en}
}
@article{StoneVerissimoSchadetal.2021,
author = {Stone, Kate and Verissimo, Joao and Schad, Daniel J. and Oltrogge, Elise and Vasishth, Shravan and Lago, Sol},
title = {The interaction of grammatically distinct agreement dependencies in predictive processing},
series = {Language, cognition and neuroscience},
volume = {36},
journal = {Language, cognition and neuroscience},
number = {9},
publisher = {Routledge, Taylor \& Francis Group},
address = {Abingdon},
issn = {2327-3798},
doi = {10.1080/23273798.2021.1921816},
pages = {1159 -- 1179},
year = {2021},
abstract = {Previous research has found that comprehenders sometimes predict information that is grammatically unlicensed by sentence constraints. An open question is why such grammatically unlicensed predictions occur. We examined the possibility that unlicensed predictions arise in situations of information conflict, for instance when comprehenders try to predict upcoming words while simultaneously building dependencies with previously encountered elements in memory. German possessive pronouns are a good testing ground for this hypothesis because they encode two grammatically distinct agreement dependencies: a retrospective one between the possessive and its previously mentioned referent, and a prospective one between the possessive and its following nominal head. In two visual world eye-tracking experiments, we estimated the onset of predictive effects in participants' fixations. The results showed that the retrospective dependency affected resolution of the prospective dependency by shifting the onset of predictive effects. We attribute this effect to an interaction between predictive and memory retrieval processes.},
language = {en}
}
@article{BuerkiAlarioVasishth2022,
author = {B{\"u}rki, Audrey and Alario, F-Xavier and Vasishth, Shravan},
title = {When words collide: Bayesian meta-analyses of distractor and target properties in the picture-word interference paradigm},
series = {Quarterly Journal of Experimental Psychology},
volume = {76},
journal = {Quarterly Journal of Experimental Psychology},
number = {6},
publisher = {Sage Publications},
address = {London},
issn = {1747-0218},
doi = {10.1177/17470218221114644},
pages = {1410 -- 1430},
year = {2022},
abstract = {In the picture-word interference paradigm, participants name pictures while ignoring a written or spoken distractor word. Naming times to the pictures are slowed down by the presence of the distractor word. The present study investigates in detail the impact of distractor and target word properties on picture naming times, building on the seminal study by Miozzo and Caramazza. We report the results of several Bayesian meta-analyses based on 26 datasets. These analyses provide estimates of effect sizes and their precision for several variables and their interactions. They show the reliability of the distractor frequency effect on picture naming latencies (latencies decrease as the frequency of the distractor increases) and demonstrate for the first time the impact of distractor length, with longer naming latencies for trials with longer distractors. Moreover, distractor frequency interacts with target word frequency to predict picture naming latencies. The methodological and theoretical implications of these findings are discussed.},
language = {en}
}
@article{StoneNicenboimVasishthetal.2023,
author = {Stone, Kate and Nicenboim, Bruno and Vasishth, Shravan and R{\"o}sler, Frank},
title = {Understanding the effects of constraint and predictability in ERP},
series = {Neurobiology of language},
volume = {4},
journal = {Neurobiology of language},
number = {2},
publisher = {MIT Press},
address = {Cambridge, MA, USA},
issn = {2641-4368},
doi = {10.1162/nol_a_00094},
pages = {221 -- 256},
year = {2023},
abstract = {Intuitively, strongly constraining contexts should lead to stronger probabilistic representations of sentences in memory. Encountering unexpected words could therefore be expected to trigger costlier shifts in these representations than expected words. However, psycholinguistic measures commonly used to study probabilistic processing, such as the N400 event-related potential (ERP) component, are sensitive to word predictability but not to contextual constraint. Some research suggests that constraint-related processing cost may be measurable via an ERP positivity following the N400, known as the anterior post-N400 positivity (PNP). The PNP is argued to reflect update of a sentence representation and to be distinct from the posterior P600, which reflects conflict detection and reanalysis. However, constraint-related PNP findings are inconsistent. We sought to conceptually replicate Federmeier et al. (2007) and Kuperberg et al. (2020), who observed that the PNP, but not the N400 or the P600, was affected by constraint at unexpected but plausible words. Using a pre-registered design and statistical approach maximising power, we demonstrated a dissociated effect of predictability and constraint: strong evidence for predictability but not constraint in the N400 window, and strong evidence for constraint but not predictability in the later window. However, the constraint effect was consistent with a P600 and not a PNP, suggesting increased conflict between a strong representation and unexpected input rather than greater update of the representation. We conclude that either a simple strong/weak constraint design is not always sufficient to elicit the PNP, or that previous PNP constraint findings could be an artifact of smaller sample size.},
language = {en}
}
@article{SchadNicenboimBuerkneretal.2022,
author = {Schad, Daniel and Nicenboim, Bruno and B{\"u}rkner, Paul-Christian and Betancourt, Michael and Vasishth, Shravan},
title = {Workflow techniques for the robust use of bayes factors},
series = {Psychological methods},
volume = {28},
journal = {Psychological methods},
number = {6},
publisher = {American Psychological Association},
address = {Washington},
issn = {1082-989X},
doi = {10.1037/met0000472},
pages = {1404 -- 1426},
year = {2022},
abstract = {Inferences about hypotheses are ubiquitous in the cognitive sciences. Bayes factors provide one general way to compare different hypotheses by their compatibility with the observed data. Those quantifications can then also be used to choose between hypotheses. While Bayes factors provide an immediate approach to hypothesis testing, they are highly sensitive to details of the data/model assumptions and it's unclear whether the details of the computational implementation (such as bridge sampling) are unbiased for complex analyses. Hem, we study how Bayes factors misbehave under different conditions. This includes a study of errors in the estimation of Bayes factors; the first-ever use of simulation-based calibration to test the accuracy and bias of Bayes factor estimates using bridge sampling; a study of the stability of Bayes factors against different MCMC draws and sampling variation in the data; and a look at the variability of decisions based on Bayes factors using a utility function. We outline a Bayes factor workflow that researchers can use to study whether Bayes factors are robust for their individual analysis. Reproducible code is available from haps://osf.io/y354c/.
Translational Abstract
In psychology and related areas, scientific hypotheses are commonly tested by asking questions like "is [some] effect present or absent." Such hypothesis testing is most often carried out using frequentist null hypothesis significance testing (NIIST). The NHST procedure is very simple: It usually returns a p-value, which is then used to make binary decisions like "the effect is present/abscnt." For example, it is common to see studies in the media that draw simplistic conclusions like "coffee causes cancer," or "coffee reduces the chances of geuing cancer." However, a powerful and more nuanced alternative approach exists: Bayes factors. Bayes factors have many advantages over NHST. However, for the complex statistical models that arc commonly used for data analysis today, computing Bayes factors is not at all a simple matter. In this article, we discuss the main complexities associated with computing Bayes factors. This is the first article to provide a detailed workflow for understanding and computing Bayes factors in complex statistical models. The article provides a statistically more nuanced way to think about hypothesis testing than the overly simplistic tendency to declare effects as being "present" or "absent".},
language = {en}
}
@misc{VasishthMertzenJaegeretal.2018,
author = {Vasishth, Shravan and Mertzen, Daniela and J{\"a}ger, Lena Ann and Gelman, Andrew},
title = {Corrigendum to: Shravan Vasishth, Daniela Mertzen, Lena A. J{\"a}ger, Andrew Gelman; The statistical significance filter leads to overoptimistic expectations of replicability. - Journal of Memory and Language. - 103 (2018), pg. 151 - 175},
series = {Journal of memory and language},
volume = {104},
journal = {Journal of memory and language},
publisher = {Elsevier},
address = {San Diego},
issn = {0749-596X},
doi = {10.1016/j.jml.2018.09.004},
pages = {128 -- 128},
year = {2018},
language = {en}
}
@article{SchadVasishthHohensteinetal.2020,
author = {Schad, Daniel and Vasishth, Shravan and Hohenstein, Sven and Kliegl, Reinhold},
title = {How to capitalize on a priori contrasts in linear (mixed) models},
series = {Journal of memory and language},
volume = {110},
journal = {Journal of memory and language},
publisher = {Elsevier},
address = {San Diego},
issn = {0749-596X},
doi = {10.1016/j.jml.2019.104038},
pages = {40},
year = {2020},
abstract = {Factorial experiments in research on memory, language, and in other areas are often analyzed using analysis of variance (ANOVA). However, for effects with more than one numerator degrees of freedom, e.g., for experimental factors with more than two levels, the ANOVA omnibus F-test is not informative about the source of a main effect or interaction. Because researchers typically have specific hypotheses about which condition means differ from each other, a priori contrasts (i.e., comparisons planned before the sample means are known) between specific conditions or combinations of conditions are the appropriate way to represent such hypotheses in the statistical model. Many researchers have pointed out that contrasts should be "tested instead of, rather than as a supplement to, the ordinary 'omnibus' F test" (Hays, 1973, p. 601). In this tutorial, we explain the mathematics underlying different kinds of contrasts (i.e., treatment, sum, repeated, polynomial, custom, nested, interaction contrasts), discuss their properties, and demonstrate how they are applied in the R System for Statistical Computing (R Core Team, 2018). In this context, we explain the generalized inverse which is needed to compute the coefficients for contrasts that test hypotheses that are not covered by the default set of contrasts. A detailed understanding of contrast coding is crucial for successful and correct specification in linear models (including linear mixed models). Contrasts defined a priori yield far more useful confirmatory tests of experimental hypotheses than standard omnibus F-tests. Reproducible code is available from https://osf.io/7ukf6/.},
language = {en}
}
@article{BostonHaleKliegletal.2008,
author = {Boston, Marisa Ferrara and Hale, John and Kliegl, Reinhold and Patil, Umesh and Vasishth, Shravan},
title = {Parsing costs as predictors of reading difficulty : an evaluation using the Potsdam Sentence Corpus},
issn = {1995-8692},
year = {2008},
language = {en}
}
@article{NicenboimVasishthGatteietal.2015,
author = {Nicenboim, Bruno and Vasishth, Shravan and Gattei, Carolina and Sigman, Mariano and Kliegl, Reinhold},
title = {Working memory differences in long-distance dependency resolution},
series = {Frontiers in psychology},
volume = {6},
journal = {Frontiers in psychology},
publisher = {Frontiers Research Foundation},
address = {Lausanne},
issn = {1664-1078},
doi = {10.3389/fpsyg.2015.00312},
pages = {16},
year = {2015},
abstract = {There is a wealth of evidence showing that increasing the distance between an argument and its head leads to more processing effort, namely, locality effects: these are usually associated with constraints in working memory (DLT: Gibson, 2000: activation-based model: Lewis and Vasishth, 2005). In SOV languages, however, the opposite effect has been found: antilocality (see discussion in Levy et al., 2013). Antilocality effects can be explained by the expectation based approach as proposed by Levy (2008) or by the activation-based model of sentence processing as proposed by Lewis and Vasishth (2005). We report an eye-tracking and a self-paced reading study with sentences in Spanish together with measures of individual differences to examine the distinction between expectation- and memory based accounts, and within memory-based accounts the further distinction between DLT and the activation-based model. The experiments show that (i) antilocality effects as predicted by the expectation account appear only for high-capacity readers; (ii) increasing dependency length by interposing material that modifies the head of the dependency (the verb) produces stronger facilitation than increasing dependency length with material that does not modify the head; this is in agreement with the activation-based model but not with the expectation account; and (iii) a possible outcome of memory load on low-capacity readers is the increase in regressive saccades (locality effects as predicted by memory-based accounts) or, surprisingly, a speedup in the self-paced reading task; the latter consistent with good-enough parsing (Ferreira et al., 2002). In sum, the study suggests that individual differences in working memory capacity play a role in dependency resolution, and that some of the aspects of dependency resolution can be best explained with the activation-based model together with a prediction component.},
language = {en}
}
@article{vonderMalsburgKlieglVasishth2015,
author = {von der Malsburg, Titus Raban and Kliegl, Reinhold and Vasishth, Shravan},
title = {Determinants of Scanpath Regularity in Reading},
series = {Cognitive science : a multidisciplinary journal of anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, psychology ; journal of the Cognitive Science Society},
volume = {39},
journal = {Cognitive science : a multidisciplinary journal of anthropology, artificial intelligence, education, linguistics, neuroscience, philosophy, psychology ; journal of the Cognitive Science Society},
number = {7},
publisher = {Wiley-Blackwell},
address = {Hoboken},
issn = {0364-0213},
doi = {10.1111/cogs.12208},
pages = {1675 -- 1703},
year = {2015},
abstract = {Scanpaths have played an important role in classic research on reading behavior. Nevertheless, they have largely been neglected in later research perhaps due to a lack of suitable analytical tools. Recently, von der Malsburg and Vasishth (2011) proposed a new measure for quantifying differences between scanpaths and demonstrated that this measure can recover effects that were missed with the traditional eyetracking measures. However, the sentences used in that study were difficult to process and scanpath effects accordingly strong. The purpose of the present study was to test the validity, sensitivity, and scope of applicability of the scanpath measure, using simple sentences that are typically read from left to right. We derived predictions for the regularity of scanpaths from the literature on oculomotor control, sentence processing, and cognitive aging and tested these predictions using the scanpath measure and a large database of eye movements. All predictions were confirmed: Sentences with short words and syntactically more difficult sentences elicited more irregular scanpaths. Also, older readers produced more irregular scanpaths than younger readers. In addition, we found an effect that was not reported earlier: Syntax had a smaller influence on the eye movements of older readers than on those of young readers. We discuss this interaction of syntactic parsing cost with age in terms of shifts in processing strategies and a decline of executive control as readers age. Overall, our results demonstrate the validity and sensitivity of the scanpath measure and thus establish it as a productive and versatile tool for reading research.},
language = {en}
}
@article{BostonHaleKliegletal.2008,
author = {Boston, Marisa Ferrara and Hale, John and Kliegl, Reinhold and Vasishth, Shravan},
title = {Surprising parser actions and reading difficulty},
year = {2008},
language = {en}
}
@article{BaayenVasishthKliegletal.2017,
author = {Baayen, Harald R. and Vasishth, Shravan and Kliegl, Reinhold and Bates, Douglas},
title = {The cave of shadows: Addressing the human factor with generalized additive mixed models},
series = {Journal of memory and language},
volume = {94},
journal = {Journal of memory and language},
publisher = {Elsevier},
address = {San Diego},
issn = {0749-596X},
doi = {10.1016/j.jml.2016.11.006},
pages = {206 -- 234},
year = {2017},
language = {en}
}
@article{MatuschekKlieglVasishthetal.2017,
author = {Matuschek, Hannes and Kliegl, Reinhold and Vasishth, Shravan and Baayen, Harald R. and Bates, Douglas},
title = {Balancing Type I error and power in linear mixed models},
series = {Journal of memory and language},
volume = {94},
journal = {Journal of memory and language},
publisher = {Elsevier},
address = {San Diego},
issn = {0749-596X},
doi = {10.1016/j.jml.2017.01.001},
pages = {305 -- 315},
year = {2017},
abstract = {Linear mixed-effects models have increasingly replaced mixed-model analyses of variance for statistical inference in factorial psycholinguistic experiments. Although LMMs have many advantages over ANOVA, like ANOVAs, setting them up for data analysis also requires some care. One simple option, when numerically possible, is to fit the full variance covariance structure of random effects (the maximal model; Barr, Levy, Scheepers \& Tily, 2013), presumably to keep Type I error down to the nominal a in the presence of random effects. Although it is true that fitting a model with only random intercepts may lead to higher Type I error, fitting a maximal model also has a cost: it can lead to a significant loss of power. We demonstrate this with simulations and suggest that for typical psychological and psycholinguistic data, higher power is achieved without inflating Type I error rate if a model selection criterion is used to select a random effect structure that is supported by the data. (C) 2017 The Authors. Published by Elsevier Inc.},
language = {en}
}
@article{NicenboimVasishthGatteietal.2015,
author = {Nicenboim, Bruno and Vasishth, Shravan and Gattei, Carolina and Sigman, Mariano and Kliegl, Reinhold},
title = {Working memory differences in long-distance dependency resolution},
series = {Frontiers in psychology},
volume = {6},
journal = {Frontiers in psychology},
number = {312},
publisher = {Frontiers Research Foundation},
address = {Lausanne},
issn = {1664-1078},
doi = {10.3389/fpsyg.2015.00312},
pages = {16},
year = {2015},
abstract = {There is a wealth of evidence showing that increasing the distance between an argument and its head leads to more processing effort, namely, locality effects; these are usually associated with constraints in working memory (DLT: Gibson, 2000; activation-based model: Lewis and Vasishth, 2005). In SOV languages, however, the opposite effect has been found: antilocality (see discussion in Levy et al., 2013). Antilocality effects can be explained by the expectation-based approach as proposed by Levy (2008) or by the activation-based model of sentence processing as proposed by Lewis and Vasishth (2005). We report an eye-tracking and a self-paced reading study with sentences in Spanish together with measures of individual differences to examine the distinction between expectation- and memory-based accounts, and within memory-based accounts the further distinction between DLT and the activation-based model. The experiments show that (i) antilocality effects as predicted by the expectation account appear only for high-capacity readers; (ii) increasing dependency length by interposing material that modifies the head of the dependency (the verb) produces stronger facilitation than increasing dependency length with material that does not modify the head; this is in agreement with the activation-based model but not with the expectation account; and (iii) a possible outcome of memory load on low-capacity readers is the increase in regressive saccades (locality effects as predicted by memory-based accounts) or, surprisingly, a speedup in the self-paced reading task; the latter consistent with good-enough parsing (Ferreira et al., 2002). In sum, the study suggests that individual differences in working memory capacity play a role in dependency resolution, and that some of the aspects of dependency resolution can be best explained with the activation-based model together with a prediction component.},
language = {en}
}
@misc{BostonHaleKliegletal.2008,
author = {Boston, Marisa Ferrara and Hale, John and Kliegl, Reinhold and Patil, Umesh and Vasishth, Shravan},
title = {Parsing costs as predictors of reading difficulty: An evaluation using the Potsdam Sentence Corpus},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-57139},
year = {2008},
abstract = {The surprisal of a word on a probabilistic grammar constitutes a promising complexity metric for human sentence comprehension difficulty. Using two different grammar types, surprisal is shown to have an effect on fixation durations and regression probabilities in a sample of German readers' eye movements, the Potsdam Sentence Corpus. A linear mixed-effects model was used to quantify the effect of surprisal while taking into account unigram and bigram frequency, word length, and empirically-derived word predictability; the so-called "early" and "late" measures of processing difficulty both showed an effect of surprisal. Surprisal is also shown to have a small but statistically non-significant effect on empirically-derived predictability itself. This work thus demonstrates the importance of including parsing costs as a predictor of comprehension difficulty in models of reading, and suggests that a simple identification of syntactic parsing costs with early measures and late measures with durations of post-syntactic events may be difficult to uphold.},
language = {en}
}
@misc{BostonHaleVasishthetal.2011,
author = {Boston, Marisa Ferrara and Hale, John T. and Vasishth, Shravan and Kliegl, Reinhold},
title = {Parallel processing and sentence comprehension difficulty},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-57159},
year = {2011},
abstract = {Eye fixation durations during normal reading correlate with processing difficulty but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eyefixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated, and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial processing. As more candidate analyses are considered in parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked parallelism in theories of sentence comprehension.},
language = {en}
}
@misc{NicenboimVasishthGatteietal.2015,
author = {Nicenboim, Bruno and Vasishth, Shravan and Gattei, Carolina and Sigman, Mariano and Kliegl, Reinhold},
title = {Working memory differences in long-distance dependency resolution},
url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-75694},
pages = {16},
year = {2015},
abstract = {There is a wealth of evidence showing that increasing the distance between an argument and its head leads to more processing effort, namely, locality effects; these are usually associated with constraints in working memory (DLT: Gibson, 2000; activation-based model: Lewis and Vasishth, 2005). In SOV languages, however, the opposite effect has been found: antilocality (see discussion in Levy et al., 2013). Antilocality effects can be explained by the expectation-based approach as proposed by Levy (2008) or by the activation-based model of sentence processing as proposed by Lewis and Vasishth (2005). We report an eye-tracking and a self-paced reading study with sentences in Spanish together with measures of individual differences to examine the distinction between expectation- and memory-based accounts, and within memory-based accounts the further distinction between DLT and the activation-based model. The experiments show that (i) antilocality effects as predicted by the expectation account appear only for high-capacity readers; (ii) increasing dependency length by interposing material that modifies the head of the dependency (the verb) produces stronger facilitation than increasing dependency length with material that does not modify the head; this is in agreement with the activation-based model but not with the expectation account; and (iii) a possible outcome of memory load on low-capacity readers is the increase in regressive saccades (locality effects as predicted by memory-based accounts) or, surprisingly, a speedup in the self-paced reading task; the latter consistent with good-enough parsing (Ferreira et al., 2002). In sum, the study suggests that individual differences in working memory capacity play a role in dependency resolution, and that some of the aspects of dependency resolution can be best explained with the activation-based model together with a prediction component.},
language = {en}
}
@article{BostonHalbeVasishthetal.2011,
author = {Boston, Marisa Ferrara and Halbe, John T. and Vasishth, Shravan and Kliegl, Reinhold},
title = {Parallel processing and entence comprehension difficulty},
doi = {10.1080/01690965.2010.492228},
year = {2011},
abstract = {Eye fixation durations during normal reading correlate with processing difficulty, but the specific cognitive mechanisms reflected in these measures are not well understood. This study finds support in German readers' eye fixations for two distinct difficulty metrics: surprisal, which reflects the change in probabilities across syntactic analyses as new words are integrated; and retrieval, which quantifies comprehension difficulty in terms of working memory constraints. We examine the predictions of both metrics using a family of dependency parsers indexed by an upper limit on the number of candidate syntactic analyses they retain at successive words. Surprisal models all fixation measures and regression probability. By contrast, retrieval does not model any measure in serial processing. As more candidate analyses are considered in parallel at each word, retrieval can account for the same measures as surprisal. This pattern suggests an important role for ranked parallelism in theories of sentence comprehension.},
language = {en}
}
@article{EngelmannVasishthEngbertetal.2013,
author = {Engelmann, Felix and Vasishth, Shravan and Engbert, Ralf and Kliegl, Reinhold},
title = {A framework for modeling the interaction of syntactic processing and eye movement control},
series = {Topics in cognitive science},
volume = {5},
journal = {Topics in cognitive science},
number = {3},
publisher = {Wiley-Blackwell},
address = {Hoboken},
issn = {1756-8757},
doi = {10.1111/tops.12026},
pages = {452 -- 474},
year = {2013},
abstract = {We explore the interaction between oculomotor control and language comprehension on the sentence level using two well-tested computational accounts of parsing difficulty. Previous work (Boston, Hale, Vasishth, \& Kliegl, 2011) has shown that surprisal (Hale, 2001; Levy, 2008) and cue-based memory retrieval (Lewis \& Vasishth, 2005) are significant and complementary predictors of reading time in an eyetracking corpus. It remains an open question how the sentence processor interacts with oculomotor control. Using a simple linking hypothesis proposed in Reichle, Warren, and McConnell (2009), we integrated both measures with the eye movement model EMMA (Salvucci, 2001) inside the cognitive architecture ACT-R (Anderson et al., 2004). We built a reading model that could initiate short Time Out regressions (Mitchell, Shen, Green, \& Hodgson, 2008) that compensate for slow postlexical processing. This simple interaction enabled the model to predict the re-reading of words based on parsing difficulty. The model was evaluated in different configurations on the prediction of frequency effects on the Potsdam Sentence Corpus. The extension of EMMA with postlexical processing improved its predictions and reproduced re-reading rates and durations with a reasonable fit to the data. This demonstration, based on simple and independently motivated assumptions, serves as a foundational step toward a precise investigation of the interaction between high-level language processing and eye movement control.},
language = {en}
}