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Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar.

, , , , , , and . CMLS, page 23-38. Association for Computational Linguistics, (2021)

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Temporal Lobes as Combinatory Engines for both Form and Meaning., , , and . CL4LC@COLING 2016, page 186-191. The COLING 2016 Organizing Committee, (2016)The Alice Datasets: fMRI & EEG Observations of Natural Language Comprehension., , , , and . LREC, page 120-125. European Language Resources Association, (2020)Text Genre and Training Data Size in Human-like Parsing., , , , and . EMNLP/IJCNLP (1), page 5845-5851. Association for Computational Linguistics, (2019)Modeling fMRI time courses with linguistic structure at various grain sizes., , , and . CMCL@NAACL-HLT, page 89-97. Association for Computational Linguistics, (2015)Finding syntax in human encephalography with beam search., , , and . ACL (1), page 2727-2736. Association for Computational Linguistics, (2018)Modeling Incremental Language Comprehension in the Brain with Combinatory Categorial Grammar., , , , , , and . CMLS, page 23-38. Association for Computational Linguistics, (2021)Word-final orthographic priming as a function of word frequency, prime duration, and morphological status., and . CogSci, cognitivesciencesociety.org, (2022)Decoding Probing: Revealing Internal Linguistic Structures in Neural Language Models Using Minimal Pairs., , , , and . LREC/COLING, page 4488-4497. ELRA and ICCL, (2024)