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Hits 61 – 80 of 13.764

61
Multitask Pointer Network for Multi-Representational Parsing
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62
Horse or pony? Visual Typicality and Lexical Frequency Affect Variability in Object Naming
In: Proceedings of the Society for Computation in Linguistics (2022)
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63
Masked language models directly encode linguistic uncertainty
In: Proceedings of the Society for Computation in Linguistics (2022)
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64
Learning Stress Patterns with a Sequence-to-Sequence Neural Network
In: Proceedings of the Society for Computation in Linguistics (2022)
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65
Modeling human-like morphological prediction
In: Proceedings of the Society for Computation in Linguistics (2022)
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66
The interaction between cognitive ease and informativeness shapes the lexicons of natural languages
In: Proceedings of the Society for Computation in Linguistics (2022)
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67
What is so Plautine about Plautine Language? Computers and the Style of Early Latin Drama
In: Peter Barrios-Lech (2022)
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68
How Well Do LSTM Language Models Learn Filler-gap Dependencies?
In: Proceedings of the Society for Computation in Linguistics (2022)
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69
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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70
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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71
Learning Argument Structures with Recurrent Neural Network Grammars
In: Proceedings of the Society for Computation in Linguistics (2022)
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72
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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73
Evaluating Structural Economy Claims in Relative Clause Attachment
In: Proceedings of the Society for Computation in Linguistics (2022)
Abstract: Grillo and Costa (2014) argue for a pseudo- relative (PR) first account of relative clause attachment preferences (RC) such that, when faced with a sentence ambiguous between a PR and a RC interpretation, the parser prefers committing to a PR structure first, thus giving rise to what looks like a high-attachment preference. One possible explanation for this parsing choice is in terms of simplicity of the PR structure, and overall economy principles. Here, we evaluate this hypothesis by testing the predictions of a parser for Minimalist grammars for PR and RC structures in Italian. We discuss the relevance of our results for PR-first explanations of the cross-linguistic variability of RC attachment biases, and highlight the role that computational models can play in evaluating the cognitive plausibility of economy considerations tied to fine-grained structural analyses.
Keyword: Attachment Ambiguity; Cognitive Science; Computational Linguistics; Economy; Italian; Memory; Minimalist grammars; Parsing; Psycholinguistics and Neurolinguistics; Syntax
URL: https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1240&context=scil
https://scholarworks.umass.edu/scil/vol5/iss1/6
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74
A Model Theoretic Perspective on Phonological Feature Systems
In: Proceedings of the Society for Computation in Linguistics (2022)
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75
Representing Multiple Dependencies in Prosodic Structures
In: Proceedings of the Society for Computation in Linguistics (2022)
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76
Incremental Acquisition of a Minimalist Grammar using an SMT-Solver
In: Proceedings of the Society for Computation in Linguistics (2022)
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77
Concurrent hidden structure & grammar learning
In: Proceedings of the Society for Computation in Linguistics (2022)
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78
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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79
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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80
Learning Input Strictly Local Functions: Comparing Approaches with Catalan Adjectives
In: Proceedings of the Society for Computation in Linguistics (2022)
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