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Terminology acquisition methods in Arabic : Application in the medical domain ; Méthodes d'acquisition terminologique en arabe : Application au domaine médical
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In: https://tel.archives-ouvertes.fr/tel-02326714 ; Informatique et langage [cs.CL]. Université Paris Saclay (COmUE); Université de Sfax (Tunisie). Faculté des Sciences économiques et de gestion, 2019. Français. ⟨NNT : 2019SACLS085⟩ (2019)
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Cross-lingual alignment transfer: a chicken-and-egg story?
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In: Workshop on Multilingual and Cross-lingual Methods in NLP ; https://hal.archives-ouvertes.fr/hal-01622815 ; Workshop on Multilingual and Cross-lingual Methods in NLP , Jun 2016, San Diego, CA, United States. pp.35-44, ⟨10.18653/v1/W16-1205⟩ ; https://aclanthology.coli.uni-saarland.de/volumes/proceedings-of-the-workshop-on-multilingual-and-cross-lingual-methods-in-nlp (2016)
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Cross-lingual Dependency Transfer : What Matters? Assessing the Impact of Pre- and Post-processing
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In: Workshop on Multilingual and Cross-lingual Methods in NLP ; https://hal.archives-ouvertes.fr/hal-01961510 ; Workshop on Multilingual and Cross-lingual Methods in NLP, Jun 2016, San Diego, United States. pp.20 - 29, ⟨10.18653/v1/W16-1203⟩ (2016)
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Reassessing the value of resources for cross-lingual transfer of POS tagging models
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In: ISSN: 1574-020X ; EISSN: 1574-0218 ; Language Resources and Evaluation ; https://hal.archives-ouvertes.fr/hal-01620904 ; Language Resources and Evaluation, Springer Verlag, 2016, 50, pp.1-34. ⟨10.1007/s10579-016-9362-7⟩ (2016)
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Acquisition of Medical Terminology for Ukrainian from Parallel Corpora and Wikipedia
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In: International Conference on Terminology and Artificial Intelligence ; https://hal.archives-ouvertes.fr/hal-01972746 ; International Conference on Terminology and Artificial Intelligence, Pamela Faber and Thierry Poibeau, Jan 2015, Granada, Spain (2015)
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Abstract:
International audience ; The increasing availability of parallel bilingual corpora and of automatic methods and tools for their processing makes it possible to build linguistic and terminological resources for low-resourced languages. We propose to exploit various corpora available in several languages in order to build bilingual and trilingual terminologies. Typically, terminology information extracted in French and English is associated with the corresponding units in the Ukrainian corpus thanks to the multilingual transfer. According to the used approaches, precision of the term extraction varies between 0.454 and 0.966, while the quality of the interlingual relations varies between 0.309 and 0.965. The resource built contains 4,588 medical terms in Ukrainian and their 34,267 relations with French and English terms.
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Keyword:
[INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [INFO]Computer Science [cs]; cross-lingual transfer; Term extraction; Terminology; Ukrainian; Wikipedia
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URL: https://hal.archives-ouvertes.fr/hal-01972746
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Cross-lingual Word Sense Disambiguation for Predicate Labelling of French
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In: Conférence sur le Traitement Automatique des Langues Naturelles ; https://hal.archives-ouvertes.fr/hal-01838558 ; Conférence sur le Traitement Automatique des Langues Naturelles, Jan 2014, Marseille, France (2014)
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Global methods for cross-lingual semantic role and predicate labelling
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In: International Conference on Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01838563 ; International Conference on Computational Linguistics, Jan 2014, Dublin, Ireland (2014)
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