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Hits 101 – 120 of 20.397

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)
Abstract: Our study investigates the impact of linguistic complexity and planning on word durations in Hindi read aloud speech. Reading aloud involves both comprehension and production processes, and we use measures defined by two influential theories of sentence comprehension, Surprisal Theory and Dependency Locality Theory, to model the time taken to enunciate individual words. We model planning processes using an information-theoretic measure we call FORWARD SURPRISAL, inspired by surprisal theory which has been prominent in recent psycholinguistic work. Forward surprisal aims to capture articulatory planning when readers incorporate parafoveal viewing during reading aloud. Using a Linear Mixed Model containing memory and surprisal costs as predictors of word duration in read aloud speech (parts-of-speech and speakers being intercept terms), we investigate the following hypotheses: 1. High values of linguistic complexity measures (lexical+PCFG surprisal and DLT memory costs) lead to high word durations. 2. High values of forward lexical surprisal tend to induce high word durations. 3. High-frequency words are read aloud faster than low-frequency words. We validate the above hypotheses using data from the TDIL corpus of read aloud speech. Further, using a Generalized Linear Model to predict content and function word labels we show that lexical surprisal measures do not help distinguish between these 2 classes. Thus reading aloud might not involve distinct access strategies for content and function words, unlike spontaneous speech.
Keyword: Applied Linguistics; Cognition and Perception; Cognitive Psychology; Cognitive Science; Comprehension; Computational Linguistics; Hindi; Language Production; Linguistic Complexity; Locality; Parafoveal Processing; Phonetics and Phonology; Planning; Psycholinguistics and Neurolinguistics; Reading; Reading Aloud; Surprisal; Typological Linguistics and Linguistic Diversity
URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1260&context=scil
https://scholarworks.umass.edu/scil/vol5/iss1/11
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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)
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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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