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AlloVera: a multilingual allophone database
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In: LREC 2020: 12th Language Resources and Evaluation Conference ; https://halshs.archives-ouvertes.fr/halshs-02527046 ; LREC 2020: 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/ (2020)
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A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ...
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The Indigenous Languages Technology Project at NRC Canada: an empowerment-oriented approach to developing language software ...
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Universal Phone Recognition with a Multilingual Allophone System ...
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AlloVera: a multilingual allophone database
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In: LREC 2020: 12th Language Resources and Evaluation Conference ; https://halshs.archives-ouvertes.fr/halshs-02527046 ; LREC 2020: 12th Language Resources and Evaluation Conference, European Language Resources Association, May 2020, Marseille, France ; https://lrec2020.lrec-conf.org/ (2020)
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Learning Language Representations for Typology Prediction ...
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Abstract:
One central mystery of neural NLP is what neural models "know" about their subject matter. When a neural machine translation system learns to translate from one language to another, does it learn the syntax or semantics of the languages? Can this knowledge be extracted from the system to fill holes in human scientific knowledge? Existing typological databases contain relatively full feature specifications for only a few hundred languages. Exploiting the existence of parallel texts in more than a thousand languages, we build a massive many-to-one neural machine translation (NMT) system from 1017 languages into English, and use this to predict information missing from typological databases. Experiments show that the proposed method is able to infer not only syntactic, but also phonological and phonetic inventory features, and improves over a baseline that has access to information about the languages' geographic and phylogenetic neighbors. ... : EMNLP 2017 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1707.09569 https://dx.doi.org/10.48550/arxiv.1707.09569
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STREAMLInED Challenges: Aligning Research Interests with Shared Tasks
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In: 2nd Workshop on the Use of Computational Methods in the Study of Endangered Languages, March 6-7, 2017. Honolulu, Hawai‘i, USA (2017)
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Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning ...
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Kwak'wala "Agreement" as Partial Subject Copy
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In: LSA Annual Meeting Extended Abstracts; Vol 3: LSA Annual Meeting Extended Abstracts 2012; 11:1-5 ; 2377-3367 (2012)
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