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Automated speech tools for helping communities process restricted-access corpora for language revival efforts ...
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Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions ...
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Leveraging pre-trained representations to improve access to untranscribed speech from endangered languages ...
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4
Sensitivity as a Complexity Measure for Sequence Classification Tasks ...
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5
Concord begets concord: A Bayesian model of nominal concord typology
In: Proceedings of the Linguistic Society of America; Vol 6, No 1 (2021): Proceedings of the Linguistic Society of America; 541–555 ; 2473-8689 (2021)
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6
Speakers Enhance Contextually Confusable Words
Meinhardt, Eric; Bakovic, Eric; Bergen, Leon. - : eScholarship, University of California, 2020
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7
Universals of word order reflect optimization of grammars for efficient communication.
In: Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 5 (2020)
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8
Nearest Neighbor Machine Translation ...
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9
Detecting Stance in Media on Global Warming ...
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10
A Framework for the Computational Linguistic Analysis of Dehumanization ...
Abstract: Dehumanization is a pernicious psychological process that often leads to extreme intergroup bias, hate speech, and violence aimed at targeted social groups. Despite these serious consequences and the wealth of available data, dehumanization has not yet been computationally studied on a large scale. Drawing upon social psychology research, we create a computational linguistic framework for analyzing dehumanizing language by identifying linguistic correlates of salient components of dehumanization. We then apply this framework to analyze discussions of LGBTQ people in the New York Times from 1986 to 2015. Overall, we find increasingly humanizing descriptions of LGBTQ people over time. However, we find that the label homosexual has emerged to be much more strongly associated with dehumanizing attitudes than other labels, such as gay. Our proposed techniques highlight processes of linguistic variation and change in discourses surrounding marginalized groups. Furthermore, the ability to analyze dehumanizing ... : 31 pages, 6 figures (Appendix is 4 pages, 4 figures). Submitted to Frontiers in Artificial Intelligence (Language and Computation) ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; J.4; I.2.7
URL: https://arxiv.org/abs/2003.03014
https://dx.doi.org/10.48550/arxiv.2003.03014
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11
Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models ...
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12
The Role of Verb Semantics in Hungarian Verb-Object Order ...
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13
Causal Effects of Linguistic Properties ...
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14
Predicting Declension Class from Form and Meaning
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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15
The Paradigm Discovery Problem
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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16
A Tale of a Probe and a Parser
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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17
A Corpus for Large-Scale Phonetic Typology
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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18
Information-Theoretic Probing for Linguistic Structure
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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19
It’s Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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20
Racial disparities in automated speech recognition
Koenecke, Allison; Nam, Andrew; Lake, Emily. - : National Academy of Sciences, 2020
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