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How Well Do LSTM Language Models Learn Filler-gap Dependencies?
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In: Proceedings of the Society for Computation in Linguistics (2022)
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102 |
A split-gesture, competitive, coupled oscillator model of syllable structure predicts the emergence of edge gemination and degemination
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In: Proceedings of the Society for Computation in Linguistics (2022)
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103 |
Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech
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In: Proceedings of the Society for Computation in Linguistics (2022)
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104 |
Learning Argument Structures with Recurrent Neural Network Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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105 |
MaxEnt Learners are Biased Against Giving Probability to Harmonically Bounded Candidates
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In: Proceedings of the Society for Computation in Linguistics (2022)
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106 |
Evaluating Structural Economy Claims in Relative Clause Attachment
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In: Proceedings of the Society for Computation in Linguistics (2022)
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107 |
A Model Theoretic Perspective on Phonological Feature Systems
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In: Proceedings of the Society for Computation in Linguistics (2022)
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108 |
Representing Multiple Dependencies in Prosodic Structures
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In: Proceedings of the Society for Computation in Linguistics (2022)
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109 |
Incremental Acquisition of a Minimalist Grammar using an SMT-Solver
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In: Proceedings of the Society for Computation in Linguistics (2022)
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110 |
Concurrent hidden structure & grammar learning
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In: Proceedings of the Society for Computation in Linguistics (2022)
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111 |
Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions
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In: Proceedings of the Society for Computation in Linguistics (2022)
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112 |
Universal Dependencies and Semantics for English and Hebrew Child-directed Speech
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In: Proceedings of the Society for Computation in Linguistics (2022)
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113 |
Learning Input Strictly Local Functions: Comparing Approaches with Catalan Adjectives
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In: Proceedings of the Society for Computation in Linguistics (2022)
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114 |
Learning Constraints on Wh-Dependencies by Learning How to Efficiently Represent Wh-Dependencies: A Developmental Modeling Investigation With Fragment Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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115 |
Typological Implications of Tier-Based Strictly Local Movement
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Abstract:
Earlier work has shown that movement, which forms the backbone of Minimalist syntax, belongs in the subregular class of TSL-2 dependencies over trees. The central idea is that movement, albeit unbounded, boils down to local mother-daughter dependencies on a specific substructure called a tree tier. This reveals interesting parallels between syntax and phonology, but it also looks very different from the standard view of movement. One may wonder, then, whether the TSL-2 characterization is linguistically natural. I argue that this is indeed the case because TSL-2 furnishes a unified analysis of a variety of phenomena: multiple wh-movement, expletive constructions, the that-trace effect and the anti-that-trace effect, islands, and wh-agreement. In addition, TSL-2 explains the absence of many logically feasible yet unattested phenomena. Far from a mere mathematical curiosity, TSL-2 is a conceptually pleasing and empirically fertile characterization of movement.
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Keyword:
Computational Linguistics; computational syntax; islands; Minimalist grammars; subregular complexity; that-trace effect; tier-based strictly local; wh-agreement
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URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1257&context=scil https://scholarworks.umass.edu/scil/vol5/iss1/16
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116 |
Parsing Early Modern English for Linguistic Search
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In: Proceedings of the Society for Computation in Linguistics (2022)
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117 |
When Classifying Arguments, BERT Doesn't Care About Word Order. Except When It Matters
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In: Proceedings of the Society for Computation in Linguistics (2022)
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118 |
Remodelling complement coercion interpretation
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In: Proceedings of the Society for Computation in Linguistics (2022)
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119 |
Inferring Inferences: Relational Propositions for Argument Mining
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In: Proceedings of the Society for Computation in Linguistics (2022)
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120 |
ANLIzing the Adversarial Natural Language Inference Dataset
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In: Proceedings of the Society for Computation in Linguistics (2022)
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