@article{ParshinaLaurinavichyuteSekerina2021, author = {Parshina, Olga and Laurinavichyute, Anna and Sekerina, Irina A.}, title = {Eye-movement benchmarks in heritage language reading}, series = {Bilingualism : language and cognition}, volume = {24}, journal = {Bilingualism : language and cognition}, number = {1}, publisher = {Cambridge University Press}, address = {Cambridge}, issn = {1366-7289}, doi = {10.1017/S136672892000019X}, pages = {69 -- 82}, year = {2021}, abstract = {This eye-tracking study establishes basic benchmarks of eye movements during reading in heritage language (HL) by Russian-speaking adults and adolescents of high (n = 21) and low proficiency (n = 27). Heritage speakers (HSs) read sentences in Cyrillic, and their eye movements were compared to those of Russian monolingual skilled adult readers, 8-year-old children and L2 learners. Reading patterns of HSs revealed longer mean fixation durations, lower skipping probabilities, and higher regressive saccade rates than in monolingual adults. High-proficient HSs were more similar to monolingual children, while low-proficient HSs performed on par with L2 learners. Low-proficient HSs differed from high-proficient HSs in exhibiting lower skipping probabilities, higher fixation counts, and larger frequency effects. Taken together, our findings are consistent with the weaker links account of bilingual language processing as well as the divergent attainment theory of HL.}, language = {en} } @article{MalyutinaLaurinavichyuteTerekhinaetal.2018, author = {Malyutina, Svetlana and Laurinavichyute, Anna and Terekhina, Maria and Lapin, Yevgeniy}, title = {No evidence for strategic nature of age-related slowing in sentence processing}, series = {Psychology and aging}, volume = {33}, journal = {Psychology and aging}, number = {7}, publisher = {American Psychological Association}, address = {Washington}, issn = {0882-7974}, doi = {10.1037/pag0000302}, pages = {1045 -- 1059}, year = {2018}, abstract = {Older adults demonstrate a slower speed of linguistic processing, including sentence processing. In nonlinguistic cognitive domains such as memory, research suggests that age-related slowing of processing speed may be a strategy adopted in order to avoid potential error and/or to spare "cognitive resources." So far, very few studies have tested whether older adults' slower processing speed in the linguistic domain has a strategic nature as well. To fill this gap, we tested whether older adults can maintain language processing accuracy when a faster processing speed is enforced externally. Specifically, we compared sentence comprehension accuracy in younger and older adults when sentences were presented at the participant's median self-paced reading speed versus twice as fast. We hypothesized that an external speed increase will cause a smaller accuracy decline in older than younger adults because older adults tend to adopt self-paced processing speeds "further away" from their performance limits. The hypothesis was not confirmed: The decline in accuracy due to faster presentation did not differ by age group. Thus, we found no evidence for strategic nature of age-related slowing of sentence processing. On the basis of our experimental design, we suggest that the age-related slowing of sentence processing is caused not only by motor slowdown, but also by a slowdown in cognitive processing}, language = {en} } @article{MalyutinaDragoyIvanovaetal.2016, author = {Malyutina, Svetlana and Dragoy, Olga V. and Ivanova, Maria and Laurinavichyute, Anna and Petrushevsky, Alexey and Meindl, Thomas and P{\"o}ppel, Ernst and Gutyrchik, Evgeny}, title = {Fishing is not wrestling: Neural underpinnings of the verb instrumentality effect}, series = {Journal of neurolinguistics : an international journal for the study of brain function in language behavior and experience}, volume = {40}, journal = {Journal of neurolinguistics : an international journal for the study of brain function in language behavior and experience}, publisher = {Elsevier}, address = {Oxford}, issn = {0911-6044}, doi = {10.1016/j.jneuroling.2016.03.002}, pages = {37 -- 54}, year = {2016}, abstract = {Previous clinical research has shown a positive effect of instrumentality on verb retrieval in individuals with aphasia. Performance on instrumental verbs incorporating an obligatory tool into their conceptual representation (e.g., to cut) is more accurate compared to non instrumental verbs (e.g., to tear), possibly due to more specific conceptual representations of instrumental verbs. Seeking the neural correlates of the differences between instrumental and non-instrumental verbs, we conducted an fMRI study with 16 German speakers who performed a verb-object matching task with instrumental and non instrumental verbs. We found that an extensive neural network. including but not limited to frontal and temporal language-related areas was more involved in the semantic processing of non-instrumental compared to instrumental verbs. We argue that this reflects a greater load associated with the processing of less semantically structured/restricted representations of non-instrumental verbs. The unavailability of additional neural resources needed for the processing of non-instrumental verbs in individuals with aphasia may lead to better behavioral performance on instrumental than non instrumental verbs. (C) 2016 Elsevier Ltd. All rights reserved.}, language = {en} } @article{LopukhinaLopukhinLaurinavichyute2021, author = {Lopukhina, Anastasiya and Lopukhin, Konstantin and Laurinavichyute, Anna}, title = {Morphosyntactic but not lexical corpus-based probabilities can substitute for cloze probabilities in reading experiments}, series = {PLOS ONE / Public Library of Science}, volume = {16}, journal = {PLOS ONE / Public Library of Science}, number = {1}, publisher = {PLoS}, address = {San Fransisco}, issn = {1932-6203}, doi = {10.1371/journal.pone.0246133}, pages = {26}, year = {2021}, abstract = {During reading or listening, people can generate predictions about the lexical and morphosyntactic properties of upcoming input based on available context. Psycholinguistic experiments that study predictability or control for it conventionally rely on a human-based approach and estimate predictability via the cloze task. Our study investigated an alternative corpus-based approach for estimating predictability via language predictability models. We obtained cloze and corpus-based probabilities for all words in 144 Russian sentences, correlated the two measures, and found a strong correlation between them. Importantly, we estimated how much variance in eye movements registered while reading the same sentences was explained by each of the two probabilities and whether the two probabilities explain the same variance. Along with lexical predictability (the activation of a particular word form), we analyzed morphosyntactic predictability (the activation of morphological features of words) and its effect on reading times over and above lexical predictability. We found that for predicting reading times, cloze and corpus-based measures of both lexical and morphosyntactic predictability explained the same amount of variance. However, cloze and corpus-based lexical probabilities both independently contributed to a better model fit, whereas for morphosyntactic probabilities, the contributions of cloze and corpus-based measures were interchangeable. Therefore, morphosyntactic but not lexical corpus-based probabilities can substitute for cloze probabilities in reading experiments. Our results also indicate that in languages with rich inflectional morphology, such as Russian, when people engage in prediction, they are much more successful in predicting isolated morphosyntactic features than predicting the particular lexeme and its full morphosyntactic markup.}, language = {en} } @article{LopukhinaLaurinavichyuteLopukhinetal.2018, author = {Lopukhina, Anastasiya and Laurinavichyute, Anna and Lopukhin, Konstantin and Dragoy, Olga V.}, title = {The Mental Representation of Polysemy across Word Classes}, series = {Frontiers in psychology}, volume = {9}, journal = {Frontiers in psychology}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2018.00192}, pages = {16}, year = {2018}, abstract = {Experimental studies on polysemy have come to contradictory conclusions on whether words with multiple senses are stored as separate or shared mental representations. The present study examined the semantic relatedness and semantic similarity of literal and non-literal (metonymic and metaphorical) senses of three word classes: nouns, verbs, and adjectives. Two methods were used: a psycholinguistic experiment and a distributional analysis of corpus data. In the experiment, participants were presented with 6-12 short phrases containing a polysemous word in literal, metonymic, or metaphorical senses and were asked to classify them so that phrases with the same perceived sense were grouped together. To investigate the impact of professional background on their decisions, participants were controlled for linguistic vs. non-linguistic education. For nouns and verbs, all participants preferred to group together phrases with literal and metonymic senses, but not any other pairs of senses. For adjectives, two pairs of senses were often grouped together: literal with metonymic, and metonymic with metaphorical. Participants with a linguistic background were more accurate than participants with non-linguistic backgrounds, although both groups shared principal patterns of sense classification. For the distributional analysis of corpus data, we used a semantic vector approach to quantify the similarity of phrases with literal, metonymic, and metaphorical senses in the corpora. We found that phrases with literal and metonymic senses had the highest degree of similarity for the three word classes, and that metonymic and metaphorical senses of adjectives had the highest degree of similarity among all word classes. These findings are in line with the experimental results. Overall, the results suggest that the mental representation of a polysemous word depends on its word class. In nouns and verbs, literal and metonymic senses are stored together, while metaphorical senses are stored separately; in adjectives, metonymic senses significantly overlap with both literal and metaphorical senses.}, language = {en} } @misc{LopukhinaLaurinavichyuteLopukhinetal.2018, author = {Lopukhina, Anastasiya and Laurinavichyute, Anna and Lopukhin, Konstantin and Dragoy, Olga V.}, title = {The mental representation of polysemy across word classes}, series = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, journal = {Postprints der Universit{\"a}t Potsdam : Humanwissenschaftliche Reihe}, number = {637}, issn = {1866-8364}, doi = {10.25932/publishup-44563}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-445637}, pages = {18}, year = {2018}, abstract = {Experimental studies on polysemy have come to contradictory conclusions on whether words with multiple senses are stored as separate or shared mental representations. The present study examined the semantic relatedness and semantic similarity of literal and non-literal (metonymic and metaphorical) senses of three word classes: nouns, verbs, and adjectives. Two methods were used: a psycholinguistic experiment and a distributional analysis of corpus data. In the experiment, participants were presented with 6-12 short phrases containing a polysemous word in literal, metonymic, or metaphorical senses and were asked to classify them so that phrases with the same perceived sense were grouped together. To investigate the impact of professional background on their decisions, participants were controlled for linguistic vs. non-linguistic education. For nouns and verbs, all participants preferred to group together phrases with literal and metonymic senses, but not any other pairs of senses. For adjectives, two pairs of senses were often grouped together: literal with metonymic, and metonymic with metaphorical. Participants with a linguistic background were more accurate than participants with non-linguistic backgrounds, although both groups shared principal patterns of sense classification. For the distributional analysis of corpus data, we used a semantic vector approach to quantify the similarity of phrases with literal, metonymic, and metaphorical senses in the corpora. We found that phrases with literal and metonymic senses had the highest degree of similarity for the three word classes, and that metonymic and metaphorical senses of adjectives had the highest degree of similarity among all word classes. These findings are in line with the experimental results. Overall, the results suggest that the mental representation of a polysemous word depends on its word class. In nouns and verbs, literal and metonymic senses are stored together, while metaphorical senses are stored separately; in adjectives, metonymic senses significantly overlap with both literal and metaphorical senses.}, language = {en} } @article{LaurinavichyuteYadavVasishth2022, author = {Laurinavichyute, Anna and Yadav, Himanshu and Vasishth, Shravan}, title = {Share the code, not just the data}, series = {Journal of memory and language}, volume = {125}, journal = {Journal of memory and language}, publisher = {Elsevier}, address = {San Diego}, issn = {0749-596X}, doi = {10.1016/j.jml.2022.104332}, pages = {12}, year = {2022}, abstract = {In 2019 the Journal of Memory and Language instituted an open data and code policy; this policy requires that, as a rule, code and data be released at the latest upon publication. How effective is this policy? We compared 59 papers published before, and 59 papers published after, the policy took effect. After the policy was in place, the rate of data sharing increased by more than 50\%. We further looked at whether papers published under the open data policy were reproducible, in the sense that the published results should be possible to regenerate given the data, and given the code, when code was provided. For 8 out of the 59 papers, data sets were inaccessible. The reproducibility rate ranged from 34\% to 56\%, depending on the reproducibility criteria. The strongest predictor of whether an attempt to reproduce would be successful is the presence of the analysis code: it increases the probability of reproducing reported results by almost 40\%. We propose two simple steps that can increase the reproducibility of published papers: share the analysis code, and attempt to reproduce one's own analysis using only the shared materials.}, language = {en} } @article{LaurinavichyutevonderMalsburg2022, author = {Laurinavichyute, Anna and von der Malsburg, Titus}, title = {Semantic attraction in sentence comprehension}, series = {Cognitive science}, volume = {46}, journal = {Cognitive science}, number = {2}, publisher = {Wiley}, address = {Hoboken}, issn = {0364-0213}, doi = {10.1111/cogs.13086}, pages = {38}, year = {2022}, abstract = {Agreement attraction is a cross-linguistic phenomenon where a verb occasionally agrees not with its subject, as required by grammar, but instead with an unrelated noun ("The key to the cabinets were horizontal ellipsis "). Despite the clear violation of grammatical rules, comprehenders often rate these sentences as acceptable. Contenders for explaining agreement attraction fall into two broad classes: Morphosyntactic accounts specifically designed to explain agreement attraction, and more general sentence processing models, such as the Lewis and Vasishth model, which explain attraction as a consequence of how linguistic structure is stored and accessed in content-addressable memory. In the present research, we disambiguate between these two classes by testing a surprising prediction made by the Lewis and Vasishth model but not by the morphosyntactic accounts, namely, that attraction should not be limited to morphosyntax, but that semantic features of unrelated nouns equally induce attraction. A recent study by Cunnings and Sturt provided initial evidence that this may be the case. Here, we report three single-trial experiments in English that compared semantic and agreement attraction and tested whether and how the two interact. All three experiments showed strong semantically induced attraction effects closely mirroring agreement attraction effects. We complement these results with computational simulations which confirmed that the Lewis and Vasishth model can faithfully reproduce the observed results. In sum, our findings suggest that attraction is a more general phenomenon than is commonly believed, and therefore favor more general sentence processing models, such as the Lewis and Vasishth model.}, language = {en} } @article{LaurinavichyuteSekerinaAlexeevaetal.2019, author = {Laurinavichyute, Anna and Sekerina, Irina A. and Alexeeva, Svetlana and Bagdasaryan, Kristine and Kliegl, Reinhold}, title = {Russian Sentence Corpus: Benchmark measures of eye movements in reading in Russian}, series = {Behavior research methods : a journal of the Psychonomic Society}, volume = {51}, journal = {Behavior research methods : a journal of the Psychonomic Society}, number = {3}, publisher = {Springer}, address = {New York}, issn = {1554-351X}, doi = {10.3758/s13428-018-1051-6}, pages = {1161 -- 1178}, year = {2019}, abstract = {This article introduces a new corpus of eye movements in silent readingthe Russian Sentence Corpus (RSC). Russian uses the Cyrillic script, which has not yet been investigated in cross-linguistic eye movement research. As in every language studied so far, we confirmed the expected effects of low-level parameters, such as word length, frequency, and predictability, on the eye movements of skilled Russian readers. These findings allow us to add Slavic languages using Cyrillic script (exemplified by Russian) to the growing number of languages with different orthographies, ranging from the Roman-based European languages to logographic Asian ones, whose basic eye movement benchmarks conform to the universal comparative science of reading (Share, 2008). We additionally report basic descriptive corpus statistics and three exploratory investigations of the effects of Russian morphology on the basic eye movement measures, which illustrate the kinds of questions that researchers can answer using the RSC. The annotated corpus is freely available from its project page at the Open Science Framework: https://osf.io/x5q2r/.}, language = {en} } @article{LaurinavichyuteJagerAkininaetal.2017, author = {Laurinavichyute, Anna and Jager, Lena Ann and Akinina, Yulia and Roß, Jennifer and Dragoy, Olga V.}, title = {Retrieval and Encoding Interference: Cross-Linguistic Evidence from Anaphor Processing}, series = {Frontiers in psychology}, volume = {8}, journal = {Frontiers in psychology}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2017.00965}, pages = {18}, year = {2017}, language = {en} }