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Hits 101 – 120 of 20.398

101
How Well Do LSTM Language Models Learn Filler-gap Dependencies?
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
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
In: Proceedings of the Society for Computation in Linguistics (2022)
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104
Learning Argument Structures with Recurrent Neural Network Grammars
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
In: Proceedings of the Society for Computation in Linguistics (2022)
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106
Evaluating Structural Economy Claims in Relative Clause Attachment
In: Proceedings of the Society for Computation in Linguistics (2022)
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107
A Model Theoretic Perspective on Phonological Feature Systems
In: Proceedings of the Society for Computation in Linguistics (2022)
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108
Representing Multiple Dependencies in Prosodic Structures
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
In: Proceedings of the Society for Computation in Linguistics (2022)
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110
Concurrent hidden structure & grammar learning
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
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
In: Proceedings of the Society for Computation in Linguistics (2022)
Abstract: While corpora of child speech and child-directed speech (CDS) have enabled major contributions to the study of child language acquisition, semantic annotation for such corpora is still scarce and lacks a uniform standard. We compile two CDS corpora—in English and Hebrew—with syntactic and semantic annotations. We employ a methodology that enforces a cross-linguistically consistent representation, building on recent advances in dependency representation and semantic parsing. Our semi-automatic syntactic annotation follows the Universal Dependencies standard (UD; de Marneffe et al., 2021), adapted to suit the CDS genre. To induce semantic forms, we develop an automatic method for transducing UD structures into sentential logical forms (LFs). The two representations have complementary strengths: UD structures are language-neutral and support direct annotation, whereas LFs are neutral as to the syntax-semantics interface, and transparently encode semantic distinctions.
Keyword: child-directed speech; Computational Linguistics; corpus annotation; language acquisition; syntax-semantics interface; Universal Dependencies
URL: https://scholarworks.umass.edu/scil/vol5/iss1/25
https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1254&context=scil
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113
Learning Input Strictly Local Functions: Comparing Approaches with Catalan Adjectives
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
In: Proceedings of the Society for Computation in Linguistics (2022)
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115
Typological Implications of Tier-Based Strictly Local Movement
In: Proceedings of the Society for Computation in Linguistics (2022)
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116
Parsing Early Modern English for Linguistic Search
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
In: Proceedings of the Society for Computation in Linguistics (2022)
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118
Remodelling complement coercion interpretation
In: Proceedings of the Society for Computation in Linguistics (2022)
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119
Inferring Inferences: Relational Propositions for Argument Mining
In: Proceedings of the Society for Computation in Linguistics (2022)
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120
ANLIzing the Adversarial Natural Language Inference Dataset
In: Proceedings of the Society for Computation in Linguistics (2022)
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