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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9 10...1.020 Hits 101 – 120 of 20.398 101 How Well Do LSTM Language Models Learn Filler-gap Dependencies? Ozaki, Satoru; Yurovsky, Dan; Levin, Lori In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 102 A split-gesture, competitive, coupled oscillator model of syllable structure predicts the emergence of edge gemination and degemination Burroni, Francesco In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 103 Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech Ranjan, Sidharth; Rajkumar, Rajakrishnan; Agarwal, Sumeet In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 104 Learning Argument Structures with Recurrent Neural Network Grammars Yoshida, Ryo; Oseki, Yohei In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 105 MaxEnt Learners are Biased Against Giving Probability to Harmonically Bounded Candidates O'Hara, Charlie In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 106 Evaluating Structural Economy Claims in Relative Clause Attachment Lee, So Young; De Santo, Aniello In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 107 A Model Theoretic Perspective on Phonological Feature Systems Nelson, Scott In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 108 Representing Multiple Dependencies in Prosodic Structures Yu, Kristine M. In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 109 Incremental Acquisition of a Minimalist Grammar using an SMT-Solver Indurkhya, Sagar In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 110 Concurrent hidden structure & grammar learning Tan, Adeline In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 111 Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions Lee, Soo-Hwan; Schuster, Sebastian In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 112 Universal Dependencies and Semantics for English and Hebrew Child-directed Speech Szubert, Ida; Abend, Omri; Schneider, Nathan... In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 113 Learning Input Strictly Local Functions: Comparing Approaches with Catalan Adjectives Shilen, Alexander; Wilson, Colin In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 114 Learning Constraints on Wh-Dependencies by Learning How to Efficiently Represent Wh-Dependencies: A Developmental Modeling Investigation With Fragment Grammars Dickson, Niels; Pearl, Lisa; Futrell, Richard In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 115 Typological Implications of Tier-Based Strictly Local Movement Graf, Thomas In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 116 Parsing Early Modern English for Linguistic Search Kulick, Seth; Ryant, Neville; Santorini, Beatrice In: Proceedings of the Society for Computation in Linguistics (2022) Abstract: This work addresses the question of whether the output of a state-of-the-art parser is accurate enough to support research in theoretical linguistics. In order to build reliable models of syntactic change, we aim to eventually parse the 1.5-billion-word Early English Books Online (EEBO) corpus. But since EEBO is not yet parsed, we begin by constructing and testing a parser on the 1.7-million-word Penn-Helsinki Parsed Corpus of Early Modern English (PPCEME). In order to obtain robust results, we define an 8-fold split on PPCEME. We then evaluate the parser with evalb and, more relevantly for us, with a task-specific metric - namely, its accuracy in parsing 6 sentence types necessary to track the rise of auxiliary do (as in They did not come vs. its historical precursor They came not). Retrieving the relevant sentences from the gold and test versions with CorpusSearch queries, we find that the parser's accuracy promises to be sufficient for our purposes. A remaining concern is the variability of the output, which we plan to address with three pieces of future work sketched in the conclusion. Keyword: Computational Linguistics; historical linguistics; parsing; syntax URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1246&context=scil https://scholarworks.umass.edu/scil/vol5/iss1/13 BASE Hide details 117 When Classifying Arguments, BERT Doesn't Care About Word Order. Except When It Matters Papadimitriou, Isabel; Futrell, Richard; Mahowald, Kyle In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 118 Remodelling complement coercion interpretation Gietz, Frederick G; Beekhuizen, Barend In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 119 Inferring Inferences: Relational Propositions for Argument Mining Potter, Andrew In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details 120 ANLIzing the Adversarial Natural Language Inference Dataset Williams, Adina; Thrush, Tristan; Kiela, Douwe In: Proceedings of the Society for Computation in Linguistics (2022) BASE Show details Page: 1 2 3 4 5 6 7 8 9 10...1.020

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