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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...992 Hits 101 – 120 of 19.838 101 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) Abstract: It’s hotly contested how children learn constraints on wh-dependencies, called syntactic islands. When learning this knowledge, a prerequisite is knowing how to represent wh-dependencies so that constraints can be hypothesized over those representations. Previous work has explained disparate sets of syntactic island constraints by assuming different wh-dependency representations, without a unified dependency representation capturing all these constraints. We implement a modeled learner who learns a Fragment Grammar (FG) representation of wh-dependencies–a representation comprised of potentially different-sized fragments that combine to form full dependencies–that best accounts for the input while being as compact as possible. This efficient wh-dependency representation can then be used to generate any wh-dependency’s probability, and so predict acceptability patterns for stimuli sets that reveal syntactic island knowledge. We find that the identified FG can generate the attested acceptability judgment patterns for all syntactic islands previously investigated, highlighting how implicit knowledge of wh-dependency constraints can emerge from trying to learn to efficiently represent wh-dependencies more generally. We additionally compare the FG representation’s performance against baselines inspired by previous proposals, finding that one baseline also yields equivalent performance. We discuss how this baseline is similar to and different from the FG representation. Keyword: Computational Linguistics; developmental modeling; efficient representation; First and Second Language Acquisition; Fragment Grammar; syntactic islands; Syntax; wh-dependencies URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1255&context=scil https://scholarworks.umass.edu/scil/vol5/iss1/22 BASE Hide 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) BASE Show 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...992

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