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Cross-linguistic differences in processing double-embedded relative clauses: Working-memory constraints or language statistics?

, , and . CogSci, cognitivesciencesociety.org, (2014)

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Automated Abstraction of Dynamic Neural Systems for Natural Language Processing., , and . IJCNN, page 1446-1451. IEEE, (2007)Cross-linguistic differences in processing double-embedded relative clauses: Working-memory constraints or language statistics?, , and . CogSci, cognitivesciencesociety.org, (2014)Cross-Linguistic Differences in Processing Double-Embedded Relative Clauses: Working-Memory Constraints or Language Statistics?, , and . Cognitive Science, 40 (3): 554-578 (2016)Learning semantic sentence representations from visually grounded language without lexical knowledge., and . Natural Language Engineering, 25 (4): 451-466 (2019)Sentence-processing in echo state networks: a qualitative analysis by finite state machine extraction., and . Connect. Sci., 22 (2): 135-155 (2010)Lexical surprisal as a general predictor of reading time., , and . EACL, page 398-408. The Association for Computer Linguistics, (2012)Learn more by training less: systematicity in sentence processing by recurrent networks.. Connect. Sci., 18 (3): 287-302 (2006)Modeling the Structure and Dynamics of Semantic Processing., , and . Cognitive Science, 42 (8): 2890-2917 (2018)Strong Systematicity in Sentence Processing by an Echo State Network.. ICANN (1), volume 4131 of Lecture Notes in Computer Science, page 505-514. Springer, (2006)Reconciling Embodied and Distributional Accounts of Meaning in Language., , and . topiCS, 6 (3): 359-370 (2014)