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In Factuality: Efficient Integration of Relevant Facts for Visual Question Answering ...
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Machine Translation for the Normalisation of 17th c. French ; Traduction automatique pour la normalisation du français du XVII e siècle
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In: TALN 2020 ; https://hal.archives-ouvertes.fr/hal-02596669 ; TALN 2020, ATALA, Jun 2020, Nancy, France (2020)
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Findings of the 2019 Conference on Machine Translation (WMT19)
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In: Barrault, Loïc orcid:0000-0002-0634-6147 , Bojar, Ondřej orcid:0000-0002-0606-0050 , Costa-Jussà, Marta R. orcid:0000-0002-5703-520X , Federmann, Christian, Fishel, Mark and Graham, Yvette (2019) Findings of the 2019 Conference on Machine Translation (WMT19). In: Fourth Conference on Machine Translation, 1-2 Aug 2019, Florence, Italy. (2019)
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A Workflow For On The Fly Normalisation Of 17th c. French
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In: DH2019 ; https://hal.archives-ouvertes.fr/hal-02276150 ; DH2019, ADHO, Jul 2019, Utrecht, Netherlands (2019)
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What you can cram into a single \$&!#* vector: Probing sentence embeddings for linguistic properties
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In: ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01898412 ; ACL 2018 - 56th Annual Meeting of the Association for Computational Linguistics, Jul 2018, Melbourne, Australia. pp.2126-2136 (2018)
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What you can cram into a single vector: Probing sentence embeddings for linguistic properties ...
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Abstract:
Although much effort has recently been devoted to training high-quality sentence embeddings, we still have a poor understanding of what they are capturing. "Downstream" tasks, often based on sentence classification, are commonly used to evaluate the quality of sentence representations. The complexity of the tasks makes it however difficult to infer what kind of information is present in the representations. We introduce here 10 probing tasks designed to capture simple linguistic features of sentences, and we use them to study embeddings generated by three different encoders trained in eight distinct ways, uncovering intriguing properties of both encoders and training methods. ... : ACL 2018 ...
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Keyword:
Computation and Language cs.CL; FOS Computer and information sciences
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URL: https://arxiv.org/abs/1805.01070 https://dx.doi.org/10.48550/arxiv.1805.01070
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Word Representations in Factored Neural Machine Translation
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In: Proceedings of the Conference on Machine Translation (WMT), ; Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-01618384 ; Conference on Machine Translation, Association for Computational Linguistics, Sep 2017, Copenhagen, Denmark. pp.43 - 55 (2017)
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Neural Machine Translation by Generating Multiple Linguistic Factors
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In: 5th International Conference Statistical Language and Speech Processing SLSP 2017 ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01689270 ; 5th International Conference Statistical Language and Speech Processing SLSP 2017, Oct 2017, Le Mans, France. ⟨10.1007/978-3-319-68456-7_2⟩ (2017)
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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
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In: ISSN: 1804-0462 ; The Prague Bulletin of Mathematical Linguistics ; https://hal-univ-lemans.archives-ouvertes.fr/hal-01647873 ; The Prague Bulletin of Mathematical Linguistics, Univerzita Karlova v Praze, 2017, 109 (1), ⟨10.1515/pralin-2017-0035⟩ (2017)
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Very Deep Convolutional Networks for Text Classification
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In: European Chapter of the Association for Computational Linguistics EACL'17 ; https://hal.archives-ouvertes.fr/hal-01454940 ; European Chapter of the Association for Computational Linguistics EACL'17, 2017, Valencia, Spain (2017)
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Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description ...
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Neural Machine Translation by Generating Multiple Linguistic Factors ...
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NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems
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In: Prague Bulletin of Mathematical Linguistics , Vol 109, Iss 1, Pp 15-28 (2017) (2017)
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OCR Error Correction Using Statistical Machine Translation
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In: 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015). ; https://hal.archives-ouvertes.fr/hal-01433200 ; 16th International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2015)., 2015, Cairo, Egypt (2015)
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Continuous Adaptation to User Feedback for Statistical Machine Translation
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In: North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015) ; https://hal.archives-ouvertes.fr/hal-01454944 ; North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2015), 2015, Denver (Colorado, USA), Unknown Region (2015)
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