TY - JOUR A1 - Stone, Kate A1 - von der Malsburg, Titus Raban A1 - Vasishth, Shravan T1 - The effect of decay and lexical uncertainty on processing long-distance dependencies in reading JF - PeerJ N2 - To make sense of a sentence, a reader must keep track of dependent relationships between words, such as between a verb and its particle (e.g. turn the music down). In languages such as German, verb-particle dependencies often span long distances, with the particle only appearing at the end of the clause. This means that it may be necessary to process a large amount of intervening sentence material before the full verb of the sentence is known. To facilitate processing, previous studies have shown that readers can preactivate the lexical information of neighbouring upcoming words, but less is known about whether such preactivation can be sustained over longer distances. We asked the question, do readers preactivate lexical information about long-distance verb particles? In one self-paced reading and one eye tracking experiment, we delayed the appearance of an obligatory verb particle that varied only in the predictability of its lexical identity. We additionally manipulated the length of the delay in order to test two contrasting accounts of dependency processing: that increased distance between dependent elements may sharpen expectation of the distant word and facilitate its processing (an antilocality effect), or that it may slow processing via temporal activation decay (a locality effect). We isolated decay by delaying the particle with a neutral noun modifier containing no information about the identity of the upcoming particle, and no known sources of interference or working memory load. Under the assumption that readers would preactivate the lexical representations of plausible verb particles, we hypothesised that a smaller number of plausible particles would lead to stronger preactivation of each particle, and thus higher predictability of the target. This in turn should have made predictable target particles more resistant to the effects of decay than less predictable target particles. The eye tracking experiment provided evidence that higher predictability did facilitate reading times, but found evidence against any effect of decay or its interaction with predictability. The self-paced reading study provided evidence against any effect of predictability or temporal decay, or their interaction. In sum, we provide evidence from eye movements that readers preactivate long-distance lexical content and that adding neutral sentence information does not induce detectable decay of this activation. The findings are consistent with accounts suggesting that delaying dependency resolution may only affect processing if the intervening information either confirms expectations or adds to working memory load, and that temporal activation decay alone may not be a major predictor of processing time. KW - reading KW - comprehension KW - temporal decay KW - preactivation KW - long distance KW - dependencies KW - entropy KW - psycholinguistics KW - locality KW - antilocality Y1 - 2020 U6 - https://doi.org/10.7717/peerj.10438 SN - 2167-8359 VL - 8 PB - PeerJ Inc. CY - London ER - TY - JOUR A1 - Stone, Kate A1 - Vasishth, Shravan A1 - von der Malsburg, Titus Raban T1 - Does entropy modulate the prediction of German long-distance verb particles? JF - PLOS ONE N2 - In this paper we examine the effect of uncertainty on readers' predictions about meaning. In particular, we were interested in how uncertainty might influence the likelihood of committing to a specific sentence meaning. We conducted two event-related potential (ERP) experiments using particle verbs such as turn down and manipulated uncertainty by constraining the context such that readers could be either highly certain about the identity of a distant verb particle, such as turn the bed [...] down, or less certain due to competing particles, such as turn the music [...] up/down. The study was conducted in German, where verb particles appear clause-finally and may be separated from the verb by a large amount of material. We hypothesised that this separation would encourage readers to predict the particle, and that high certainty would make prediction of a specific particle more likely than lower certainty. If a specific particle was predicted, this would reflect a strong commitment to sentence meaning that should incur a higher processing cost if the prediction is wrong. If a specific particle was less likely to be predicted, commitment should be weaker and the processing cost of a wrong prediction lower. If true, this could suggest that uncertainty discourages predictions via an unacceptable cost-benefit ratio. However, given the clear predictions made by the literature, it was surprisingly unclear whether the uncertainty manipulation affected the two ERP components studied, the N400 and the PNP. Bayes factor analyses showed that evidence for our a priori hypothesised effect sizes was inconclusive, although there was decisive evidence against a priori hypothesised effect sizes larger than 1 mu Vfor the N400 and larger than 3 mu V for the PNP. We attribute the inconclusive finding to the properties of verb-particle dependencies that differ from the verb-noun dependencies in which the N400 and PNP are often studied. Y1 - 2022 U6 - https://doi.org/10.1371/journal.pone.0267813 SN - 1932-6203 VL - 17 IS - 8 PB - PLOS CY - San Francisco, California, US ER - TY - GEN A1 - Stone, Kate A1 - Vasishth, Shravan A1 - Malsburg, Titus von der T1 - Does entropy modulate the prediction of German long-distance verb particles? T2 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe N2 - In this paper we examine the effect of uncertainty on readers’ predictions about meaning. In particular, we were interested in how uncertainty might influence the likelihood of committing to a specific sentence meaning. We conducted two event-related potential (ERP) experiments using particle verbs such as turn down and manipulated uncertainty by constraining the context such that readers could be either highly certain about the identity of a distant verb particle, such as turn the bed […] down, or less certain due to competing particles, such as turn the music […] up/down. The study was conducted in German, where verb particles appear clause-finally and may be separated from the verb by a large amount of material. We hypothesised that this separation would encourage readers to predict the particle, and that high certainty would make prediction of a specific particle more likely than lower certainty. If a specific particle was predicted, this would reflect a strong commitment to sentence meaning that should incur a higher processing cost if the prediction is wrong. If a specific particle was less likely to be predicted, commitment should be weaker and the processing cost of a wrong prediction lower. If true, this could suggest that uncertainty discourages predictions via an unacceptable cost-benefit ratio. However, given the clear predictions made by the literature, it was surprisingly unclear whether the uncertainty manipulation affected the two ERP components studied, the N400 and the PNP. Bayes factor analyses showed that evidence for our a priori hypothesised effect sizes was inconclusive, although there was decisive evidence against a priori hypothesised effect sizes larger than 1μV for the N400 and larger than 3μV for the PNP. We attribute the inconclusive finding to the properties of verb-particle dependencies that differ from the verb-noun dependencies in which the N400 and PNP are often studied. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 785 Y1 - 2022 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-562312 SN - 1866-8364 SP - 1 EP - 25 PB - Universitätsverlag Potsdam CY - Potsdam ER - TY - JOUR A1 - Stone, Kate A1 - Vasishth, Shravan A1 - Malsburg, Titus von der T1 - Does entropy modulate the prediction of German long-distance verb particles? JF - PLOS ONE N2 - In this paper we examine the effect of uncertainty on readers’ predictions about meaning. In particular, we were interested in how uncertainty might influence the likelihood of committing to a specific sentence meaning. We conducted two event-related potential (ERP) experiments using particle verbs such as turn down and manipulated uncertainty by constraining the context such that readers could be either highly certain about the identity of a distant verb particle, such as turn the bed […] down, or less certain due to competing particles, such as turn the music […] up/down. The study was conducted in German, where verb particles appear clause-finally and may be separated from the verb by a large amount of material. We hypothesised that this separation would encourage readers to predict the particle, and that high certainty would make prediction of a specific particle more likely than lower certainty. If a specific particle was predicted, this would reflect a strong commitment to sentence meaning that should incur a higher processing cost if the prediction is wrong. If a specific particle was less likely to be predicted, commitment should be weaker and the processing cost of a wrong prediction lower. If true, this could suggest that uncertainty discourages predictions via an unacceptable cost-benefit ratio. However, given the clear predictions made by the literature, it was surprisingly unclear whether the uncertainty manipulation affected the two ERP components studied, the N400 and the PNP. Bayes factor analyses showed that evidence for our a priori hypothesised effect sizes was inconclusive, although there was decisive evidence against a priori hypothesised effect sizes larger than 1μV for the N400 and larger than 3μV for the PNP. We attribute the inconclusive finding to the properties of verb-particle dependencies that differ from the verb-noun dependencies in which the N400 and PNP are often studied. Y1 - 2022 U6 - https://doi.org/10.1371/journal.pone.0267813 SN - 1932-6203 SP - 1 EP - 25 PB - PLOS ONE CY - San Francisco, California, US ER - TY - GEN A1 - Stone, Kate A1 - Nicenboim, Bruno A1 - Vasishth, Shravan A1 - Rösler, Frank T1 - Understanding the effects of constraint and predictability in ERP T2 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe N2 - 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. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 829 KW - N400 KW - anterior PNP KW - posterior P600 KW - probabilistic processing KW - constraint KW - predictability KW - entropy Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-587594 SN - 1866-8364 IS - 829 ER - TY - JOUR A1 - Stone, Kate A1 - Nicenboim, Bruno A1 - Vasishth, Shravan A1 - Rösler, Frank T1 - Understanding the effects of constraint and predictability in ERP JF - Neurobiology of language N2 - 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. KW - N400 KW - anterior PNP KW - posterior P600 KW - probabilistic processing KW - constraint KW - predictability KW - entropy Y1 - 2022 U6 - https://doi.org/10.1162/nol_a_00094 SN - 2641-4368 VL - 4 IS - 2 SP - 221 EP - 256 PB - MIT Press CY - Cambridge, MA, USA ER - TY - JOUR A1 - Stone, Kate A1 - Lago, Sol A1 - Schad, Daniel T1 - Divergence point analyses of visual world data BT - applications to bilingual research JF - Bilingualism : language and cognition N2 - Much work has shown that differences in the timecourse of language processing are central to comparing native (L1) and non-native (L2) speakers. However, estimating the onset of experimental effects in timecourse data presents several statistical problems including multiple comparisons and autocorrelation. We compare several approaches to tackling these problems and illustrate them using an L1-L2 visual world eye-tracking dataset. We then present a bootstrapping procedure that allows not only estimation of an effect onset, but also of a temporal confidence interval around this divergence point. We describe how divergence points can be used to demonstrate timecourse differences between speaker groups or between experimental manipulations, two important issues in evaluating L2 processing accounts. We discuss possible extensions of the bootstrapping procedure, including determining divergence points for individual speakers and correlating them with individual factors like L2 exposure and proficiency. Data and an analysis tutorial are available at https://osf.io/exbmk/. KW - divergence point analyses KW - non-parametric approaches KW - bootstrapping KW - visual world eye-tracking KW - bilingualism Y1 - 2021 U6 - https://doi.org/10.1017/S1366728920000607 SN - 1366-7289 SN - 1469-1841 VL - 24 IS - 5 SP - 833 EP - 841 PB - Cambridge Univ. Press CY - Cambridge ER - TY - THES A1 - Stone, Kate T1 - Predicting long-distance lexical content in German verb-particle constructions N2 - A large body of research now supports the presence of both syntactic and lexical predictions in sentence processing. Lexical predictions, in particular, are considered to indicate a deep level of predictive processing that extends past the structural features of a necessary word (e.g. noun), right down to the phonological features of the lexical identity of a specific word (e.g. /kite/; DeLong et al., 2005). However, evidence for lexical predictions typically focuses on predictions in very local environments, such as the adjacent word or words (DeLong et al., 2005; Van Berkum et al., 2005; Wicha et al., 2004). Predictions in such local environments may be indistinguishable from lexical priming, which is transient and uncontrolled, and as such may prime lexical items that are not compatible with the context (e.g. Kukona et al., 2014). Predictive processing has been argued to be a controlled process, with top-down information guiding preactivation of plausible upcoming lexical items (Kuperberg & Jaeger, 2016). One way to distinguish lexical priming from prediction is to demonstrate that preactivated lexical content can be maintained over longer distances. In this dissertation, separable German particle verbs are used to demonstrate that preactivation of lexical items can be maintained over multi-word distances. A self-paced reading time and an eye tracking experiment provide some support for the idea that particle preactivation triggered by a verb and its context can be observed by holding the sentence context constant and manipulating the predictabilty of the particle. Although evidence of an effect of particle predictability was only seen in eye tracking, this is consistent with previous evidence suggesting that predictive processing facilitates only some eye tracking measures to which the self-paced reading modality may not be sensitive (Staub, 2015; Rayner1998). Interestingly, manipulating the distance between the verb and the particle did not affect reading times, suggesting that the surprisal-predicted faster reading times at long distance may only occur when the additional distance is created by information that adds information about the lexical identity of a distant element (Levy, 2008; Grodner & Gibson, 2005). Furthermore, the results provide support for models proposing that temporal decay is not major influence on word processing (Lewandowsky et al., 2009; Vasishth et al., 2019). In the third and fourth experiments, event-related potentials were used as a method for detecting specific lexical predictions. In the initial ERP experiment, we found some support for the presence of lexical predictions when the sentence context constrained the number of plausible particles to a single particle. This was suggested by a frontal post-N400 positivity (PNP) that was elicited when a lexical prediction had been violated, but not to violations when more than one particle had been plausible. The results of this study were highly consistent with previous research suggesting that the PNP might be a much sought-after ERP marker of prediction failure (DeLong et al., 2011; DeLong et al., 2014; Van Petten & Luka, 2012; Thornhill & Van Petten, 2012; Kuperberg et al., 2019). However, a second experiment in a larger sample experiment failed to replicate the effect, but did suggest the relationship of the PNP to predictive processing may not yet be fully understood. Evidence for long-distance lexical predictions was inconclusive. The conclusion drawn from the four experiments is that preactivation of the lexical entries of plausible upcoming particles did occur and was maintained over long distances. The facilitatory effect of this preactivation at the particle site therefore did not appear to be the result of transient lexical priming. However, the question of whether this preactivation can also lead to lexical predictions of a specific particle remains unanswered. Of particular interest to future research on predictive processing is further characterisation of the PNP. Implications for models of sentence processing may be the inclusion of long-distance lexical predictions, or the possibility that preactivation of lexical material can facilitate reading times and ERP amplitude without commitment to a specific lexical item. N2 - Eine große Anzahl an Forschungen unterstützt nun sowohl das Vorkommen syntaktischer als auch lexikalischer Vorhersagen bei der Satzverarbeitung. Insbesondere lexikalische Vorhersagen gelten als Indikator für eine tiefe Ebene bei der prädiktiven Satzverarbeitung, die sich über die strukturellen Merkmale eines notwendigen Wortes (z.B. Substantiv) bis hin zu den phonologischen Merkmalen der lexikalischen Identität eines bestimmten Wortes erstreckt (z.B. /kite/; DeLong et al., 2005). Die Evidenz für lexikalische Vorhersagen konzentriert sich jedoch in der Regel auf Vorhersagen in sehr lokalen Umgebungen wie zum Beispiel das angrenzende Wort oder die angrenzenden Wörter (DeLong et al., 2005; Van Berkum et al., 2005; Wicha et al., 2004). Vorhersagen in solchen lokalen Umgebungen sind womöglich nicht unterscheidbar von lexikalischem Priming, das vorübergehend und unkontrolliert ist und könnten als solches lexikalische Elemente primen, die mit dem Kontext nicht kompatibel sind (z.B. Kukona et al., 2014). Die prädiktive Verarbeitung wurde als ein kontrollierter Prozess verstanden, bei dem top-down verarbeitete Informationen die Präaktivierung plausibler bevorstehender lexikalischer Elemente steuern (Kuperberg & Jaeger, 2016). Eine Möglichkeit, lexikalisches Priming von Vorhersagen zu unterscheiden, besteht darin, zu zeigen, dass präaktivierte lexikalische Inhalte über größere Entfernungen beibehalten werden können. In dieser Dissertation werden trennbare deutsche Partikelverben verwendet, um zu zeigen, dass die Präaktivierung lexikalischer Elemente über Mehrwortdistanzen aufrechterhalten werden kann. Ein selbstbestimmtes Leseexperiment und ein Eyetracking-Experiment liefern eine gewisse Bestätigung für die Idee, dass die Präaktivierung von Partikeln, ausgelöst von einem Verb und dessen Kontext, beobachtet werden kann, indem der Satzkontext konstant gehalten und die Vorhersagbarkeit des Partikels manipuliert wird. Obwohl der Nachweis eines Effekts der Partikelvorhersagbarkeit nur im Eyetracking zu sehen war, stimmt dies mit früheren Erkenntnissen überein, die darauf hindeuten, dass die prädiktive Verarbeitung nur einige Eyetracking-Messungen erleichtert, für die die selbstbestimmte Lesemodalität möglicherweise nicht sensitiv genug ist (Staub, 2015; Rayner, 1998). Interessanterweise hatte die Manipulation des Abstands zwischen dem Verb und dem Partikel keinen Einfluss auf die Lesezeiten, was darauf hindeutet, dass die durch die Surprisal-Theorie vorhergesagten schnelleren Lesezeiten bei großem Abstand nur dann auftreten können, wenn der zusätzliche Abstand durch Informationen erzeugt wird, die Informationen über die lexikalische Identität eines entfernten Elements hinzufügen (Levy, 2008; Grodner & Gibson, 2005). Darüber hinaus liefern die Ergebnisse Unterstützung für Modelle, die vorschlagen, dass der zeitliche Aktivierungsverfall keinen großen Einfluss auf die Wortverarbeitung hat (Lewandowsky et al., 2009; Vasishth et al., 2019). Im dritten und vierten Experiment wurden ereigniskorrelierte Potentiale (EKP) als Methode zum Nachweis spezifischer lexikalischer Vorhersagen verwendet. Im ersten EKP-Experiment fanden wir eine gewisse Bestätigung für das Vorhandensein lexikalischer Vorhersagen, wenn der Satzkontext die Anzahl der plausiblen Partikel auf ein einziges Partikel beschränkte. Dies wurde durch eine frontale Post-N400-Positivität (PNP) angedeutet, die hervorgerufen wurde, wenn eine lexikalische Vorhersage verletzt worden war, aber nicht bei Verletzungen, wenn mehr als ein Partikel plausibel gewesen war. Die Ergebnisse dieser Studie stimmen in hohem Maße mit früheren Untersuchungen überein, die darauf hindeuten, dass die PNP ein sehr gesuchter EKP-Marker für das Scheitern von Vorhersagen sein könnte (DeLong et al., 2011; DeLong et al., 2014; Van Petten & Luka, 2012; Thornhill & Van Petten, 2012; Kuperberg et al., 2020). Ein zweites Experiment mit einer größeren Stichprobe konnte den Effekt jedoch nicht replizieren, deutete aber darauf hin, dass die Beziehung der PNP zur prädiktiven Verarbeitung möglicherweise noch nicht vollständig verstanden ist. Die Evidenz für lexikalische Fernvorhersagen war nicht schlüssig. Die Schlussfolgerung, die aus den vier Experimenten gezogen wurde, ist, dass eine Präaktivierung der lexikalischen Einträge von plausiblen, bevorstehenden Partikeln stattgefunden hat und über weite Strecken aufrechterhalten wurde. Die erleichternde Wirkung dieser Präaktivierung am Partikel scheint daher nicht das Ergebnis eines vorübergehenden lexikalischen Primings zu sein. Die Frage, ob diese Präaktivierung auch zu lexikalischen Vorhersagen eines bestimmten Partikels führen kann, bleibt jedoch unbeantwortet. Von besonderem Interesse für zukünftige Forschung zur prädiktiven Verarbeitung ist die weitere Charakterisierung der PNP. Implikationen für Satzverarbeitungsmodelle sind beispielsweise die Einbeziehung von lexikalischen Fernvorhersagen oder die Möglichkeit, dass die Präaktivierung von lexikalischem Material die Lesezeiten und die EKP-Amplitude ohne Bindung an ein bestimmtes lexikalisches Element erleichtern kann. T2 - Lexikalische Vorhersagen in Partikelverb-Konstruktionen des Deutschen KW - sentence processing KW - prediction KW - particle verbs KW - preactivation KW - ERP KW - eye tracking KW - self-paced reading KW - EKP KW - Partikelverben KW - Preaktivierung KW - Vorhersagen KW - selbstbestimmtes Lesen KW - Satzverarbeitung KW - Eyetracking Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-476798 ER -