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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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3
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 ...
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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 ...
Abstract: Hungarian is often referred to as a discourse-configurational language, since the structural position of constituents is determined by their logical function (topic or comment) rather than their grammatical function (e.g., subject or object). We build on work by Komlósy (1989) and argue that in addition to discourse context, the lexical semantics of the verb also plays a significant role in determining Hungarian word order. In order to investigate the role of lexical semantics in determining Hungarian word order, we conduct a large-scale, data-driven analysis on the ordering of 380 transitive verbs and their objects, as observed in hundreds of thousands of examples extracted from the Hungarian Gigaword Corpus. We test the effect of lexical semantics on the ordering of verbs and their objects by grouping verbs into 11 semantic classes. In addition to the semantic class of the verb, we also include two control features related to information structure, object definiteness and object NP weight, chosen to allow ... : Work in progress ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences
URL: https://dx.doi.org/10.48550/arxiv.2006.09432
https://arxiv.org/abs/2006.09432
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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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