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1
Document Sub-structure in Neural Machine Translation
In: Proceedings of the 12th Language Resources and Evaluation Conference ; 12th Language Resources and Evaluation Conference ; https://hal.archives-ouvertes.fr/hal-02900568 ; 12th Language Resources and Evaluation Conference, 2020, Marseille, France. pp.3657-3667 (2020)
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2
ParBLEU: Augmenting Metrics with Automatic Paraphrases for the WMT'20 Metrics Shared Task
In: Proceedings of the 5th Conference on Machine Translation ; 5th Conference on Machine Translation ; https://hal.archives-ouvertes.fr/hal-02981143 ; 5th Conference on Machine Translation, Nov 2020, Online, Unknown Region (2020)
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3
Detecting context-dependent sentences in parallel corpora ; Détection dans des corpus parallèles de phrases dépendantes du contexte
In: 25th Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01800736 ; 25th Conférence sur le Traitement Automatique des Langues Naturelles, 2018, Rennes, France. pp.393-400 (2018)
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Machine Translation of Speech-Like Texts: Strategies for the Inclusion of Context
In: 19es REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL 2017) ; https://hal.archives-ouvertes.fr/hal-01588152 ; 19es REncontres jeunes Chercheurs en Informatique pour le TAL (RECITAL 2017), Jun 2017, Orléans, France. pp.2497-2502 (2017)
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5
Cross-lingual Pronoun Prediction with Linguistically Informed Features
In: Proceedings of the First Conference on Machine Translation ; First Conference on Machine Translation (WMT '16) ; https://hal.archives-ouvertes.fr/hal-01353862 ; First Conference on Machine Translation (WMT '16), Aug 2016, Berlin, Germany. pp.564--570, ⟨10.18653/v1/W16-2348⟩ (2016)
Abstract: International audience ; We present the LIMSI's cross-lingual pronoun prediction system for the WMT 2016 shared task. We use high-level linguistic features with explicit coreference resolution and expletive detection and rely on dependency annotations and a morphological lexicon. We show that our few, carefully chosen features perform significantly better than several language model baselines and competitively compared to the other systems submitted.
Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing; linguistics; machine translation; pronoun prediction; pronoun translation
URL: https://hal.archives-ouvertes.fr/hal-01353862/document
https://hal.archives-ouvertes.fr/hal-01353862/file/wmt16-pronoun-task.pdf
https://doi.org/10.18653/v1/W16-2348
https://hal.archives-ouvertes.fr/hal-01353862
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