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A set of recommendations for assessing human-machine parity in language translation
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In: Läubli, Samuel orcid:0000-0001-5362-4106 , Castilho, Sheila orcid:0000-0002-8416-6555 , Neubig, Graham, Sennrich, Rico orcid:0000-0002-1438-4741 , Shen, Qinlan and Toral, Antonio orcid:0000-0003-2357-2960 (2020) A set of recommendations for assessing human-machine parity in language translation. Journal of Artificial Intelligence Research, 67 . pp. 653-672. ISSN 1076-9757 (2020)
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Speech technology for unwritten languages
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In: ISSN: 2329-9290 ; EISSN: 2329-9304 ; IEEE/ACM Transactions on Audio, Speech and Language Processing ; https://hal.inria.fr/hal-02480675 ; IEEE/ACM Transactions on Audio, Speech and Language Processing, Institute of Electrical and Electronics Engineers, 2020, ⟨10.1109/TASLP.2020.2973896⟩ (2020)
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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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Explicit Alignment Objectives for Multilingual Bidirectional Encoders ...
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Balancing Training for Multilingual Neural Machine Translation ...
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Automatic Extraction of Rules Governing Morphological Agreement ...
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A Summary of the First Workshop on Language Technology for Language Documentation and Revitalization ...
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A Set of Recommendations for Assessing Human-Machine Parity in Language Translation ...
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Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation ...
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Universal Phone Recognition with a Multilingual Allophone System ...
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The Return of Lexical Dependencies: Neural Lexicalized PCFGs ...
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XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization ...
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X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models ...
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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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How Can We Know What Language Models Know?
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 423-438 (2020) (2020)
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Improving Candidate Generation for Low-resource Cross-lingual Entity Linking
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In: Transactions of the Association for Computational Linguistics, Vol 8, Pp 109-124 (2020) (2020)
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