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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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Sensitivity as a Complexity Measure for Sequence Classification Tasks ...
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Concord begets concord: A Bayesian model of nominal concord typology
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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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Universals of word order reflect optimization of grammars for efficient communication.
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In: Proceedings of the National Academy of Sciences of the United States of America, vol 117, iss 5 (2020)
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A Framework for the Computational Linguistic Analysis of Dehumanization ...
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Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models ...
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Abstract:
We propose transfer learning as a method for analyzing the encoding of grammatical structure in neural language models. We train LSTMs on non-linguistic data and evaluate their performance on natural language to assess which kinds of data induce generalizable structural features that LSTMs can use for natural language. We find that training on non-linguistic data with latent structure (MIDI music or Java code) improves test performance on natural language, despite no overlap in surface form or vocabulary. To pinpoint the kinds of abstract structure that models may be encoding to lead to this improvement, we run similar experiments with two artificial parentheses languages: one which has a hierarchical recursive structure, and a control which has paired tokens but no recursion. Surprisingly, training a model on either of these artificial languages leads to the same substantial gains when testing on natural language. Further experiments on transfer between natural languages controlling for vocabulary overlap ... : EMNLP 2020 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://dx.doi.org/10.48550/arxiv.2004.14601
https://arxiv.org/abs/2004.14601
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| 12 |
The Role of Verb Semantics in Hungarian Verb-Object Order ...
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Predicting Declension Class from Form and Meaning
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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| 15 |
The Paradigm Discovery Problem
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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A Tale of a Probe and a Parser
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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A Corpus for Large-Scale Phonetic Typology
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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Information-Theoretic Probing for Linguistic Structure
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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
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In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (2020)
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