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Hits 1 – 20 of 93

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Automated speech tools for helping communities process restricted-access corpora for language revival efforts ...
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2
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 ...
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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)
Abstract: This work treats the paradigm discovery problem (PDP), the task of learning an inflectional morphological system from unannotated sentences. We formalize the PDP and develop evaluation metrics for judging systems. Using currently available resources, we construct datasets for the task. We also devise a heuristic benchmark for the PDP and report empirical results on five diverse languages. Our benchmark system first makes use of word embeddings and string similarity to cluster forms by cell and by paradigm. Then, we bootstrap a neural transducer on top of the clustered data to predict words to realize the empty paradigm slots. An error analysis of our system suggests clustering by cell across different inflection classes is the most pressing challenge for future work.
URL: https://hdl.handle.net/20.500.11850/462310
https://doi.org/10.3929/ethz-b-000462310
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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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