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Eliciting specialized frames from corpora using argument-structure extraction techniques
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In: ISSN: 0929-9971 ; Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication ; https://hal.archives-ouvertes.fr/hal-02318280 ; Terminology. International Journal of Theoretical and Applied Issues in Specialized Communication , John Benjamins Publishing, 2019, 25 (1), pp.1-31. ⟨10.1075/term.00026.san⟩ (2019)
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Ontological and Non-Ontological Resources for Associating Medical Dictionary for Regulatory Activities Terms to SNOMED Clinical Terms With Semantic Properties
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In: ISSN: 1663-9812 ; Frontiers in Pharmacology ; https://hal.sorbonne-universite.fr/hal-02298372 ; Frontiers in Pharmacology, Frontiers, 2019, 10, pp.975. ⟨10.3389/fphar.2019.00975⟩ (2019)
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Des constructions à tous les niveaux des discours spécialisés ? Propositions méthodologiques
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In: https://halshs.archives-ouvertes.fr/halshs-02371684 ; Master. Séminaire de linguistique allemand moderne, Paris, France. 2019 ; Séminaire de linguistique allemand moderne (2019)
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TemPO : towards a conceptualisation of pathology in speech and language therapy
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In: Actes TALN 6RECITAL 2019 ; Terminologie et Intelligence Artificielle - Atelier TALN-RECITAL et IC (PFIA 2019) ; https://hal.archives-ouvertes.fr/hal-02193859 ; Terminologie et Intelligence Artificielle - Atelier TALN-RECITAL et IC (PFIA 2019), Jul 2019, Toulouse, France ; https://tia.limsi.fr/2019/ (2019)
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TermEval: an automatic metric for evaluating terminology translation in MT
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In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2019) TermEval: an automatic metric for evaluating terminology translation in MT. In: CICLing 2019, the 20th International Conference on Computational Linguistics and Intelligent Text Processing, 07-13 Apr 2019, La Rochelle, France. (2019)
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Abstract:
Terminology translation plays a crucial role in domain-specific machine translation (MT). Preservation of domain-knowledge from source to target is arguably the most concerning factor for the customers in translation industry, especially for critical domains such as medical, transportation, military, legal and aerospace. However, evaluation of terminology translation, despite its huge importance in the translation industry, has been a less examined area in MT research. Term translation quality in MT is usually measured with domain experts, either in academia or industry. To the best of our knowledge, as of yet there is no publicly available solution to automatically evaluate terminology translation in MT. In particular, manual intervention is often needed to evaluate terminology translation in MT, which, by nature, is a time-consuming and highly expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems are often needed to be updated for many reasons (e.g. availability of new training data or leading MT techniques). Hence, there is a genuine need to have a faster and less expensive solution to this problem, which could aid the end-users to instantly identify term translation problems in MT. In this study, we propose an automatic evaluation metric, TermEval, for evaluating terminology translation in MT. To the best of our knowledge, there is no gold-standard dataset available for measuring terminology translation quality in MT. In the absence of gold standard evaluation test set, we semi-automatically create a gold-standard dataset from English–Hindi judicial domain parallel corpus. We trained state-of-the-art phrase-based SMT (PB-SMT) and neural MT (NMT) models on two translation directions: English-to-Hindi and Hindi-to-English, and use TermEval to evaluate their performance on terminology translation over the created gold standard test set. In order to measure the correlation between TermEval scores and human judgments, translations of each source terms (of the gold standard test set) is validated with human evaluator. High correlation between TermEval and human judgements manifests the effectiveness of the proposed terminology translation evaluation metric. We also carry out comprehensive manual evaluation on terminology translation and present our observations.
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Keyword:
Machine translating; Machine Translation; Neural Machine Translation; Phrase-Based Statistical Machine Translation; Term Translation Evaluation; Terminology Translation
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URL: http://doras.dcu.ie/24608/
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TermEval: an automatic metric for evaluating terminology translation in MT
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In: Haque, Rejwanul orcid:0000-0003-1680-0099 , Hasanuzzaman, Mohammed orcid:0000-0003-1838-0091 and Way, Andy orcid:0000-0001-5736-5930 (2019) TermEval: an automatic metric for evaluating terminology translation in MT. In: CICLing 2019: the 20th International Conference on Computational Linguistics and Intelligent Text Processing, 7-13 Apr 2019, La Rochelle, France. (2019)
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An iconic approach to the browsing of medical terminologies
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In: MEDINFO ; https://hal.archives-ouvertes.fr/hal-03479242 ; MEDINFO, 2019, Lyon, France (2019)
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Origine des syntagmes "transboundary animal diseases" et "maladies animales transfrontalières/transfrontières" en anglais et en français
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In: ISSN: 0754-2186 ; Epidémiologie et Santé Animale ; https://hal.archives-ouvertes.fr/hal-02441281 ; Epidémiologie et Santé Animale, Association pour l'Etude de l'Epidémiologie des Maladies Animales (AEEMA), 2019, Les maladies animales transfrontalières, pp.5-25 (2019)
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Differences in Narrative Language in Evaluations of Medical Students by Gender and Under-represented Minority Status.
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In: Journal of general internal medicine, vol 34, iss 5 (2019)
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Differences in Narrative Language in Evaluations of Medical Students by Gender and Under-represented Minority Status.
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In: Journal of general internal medicine, vol 34, iss 5 (2019)
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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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Contrastive study of cultural anisomorphism (France and Spain) of criminal terminology ; Estudio contrastivo del anisomorfismo cultural (Francia y España) de la terminología penal
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In: ISSN: 1579-9794 ; Hikma ; https://hal.archives-ouvertes.fr/hal-02560392 ; Hikma, Universidad de Cordoba, 2019, 18, pp.231-260. ⟨10.21071/hikma.v18i1.11209⟩ (2019)
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Designing a virtual patient dialogue system based on terminology-rich resources: challenges and evaluation
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In: ISSN: 1351-3249 ; EISSN: 1469-8110 ; Natural Language Engineering ; https://hal.archives-ouvertes.fr/hal-02358021 ; Natural Language Engineering, Cambridge University Press (CUP), 2019, pp.1-38 (2019)
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Эпонимы и политика: семасиологические проблемы ... : Eponyms and politics: semasiological problems ...
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English terminology in molecular biology ... : АНГЛИЙСКАЯ ТЕРМИНОЛОГИЯ В МОЛЕКУЛЯРНОЙ БИОЛОГИИ ...
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Использование фреймового моделирования в процессе изучения английского языка ... : Use of Frame Modeling in Studying English ...
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Peculiarities of translation in the system of foreign language teaching ... : ОСОБЕННОСТИ ПЕРЕВОДА В СИСТЕМЕ ОБУЧЕНИЯ ИНОСТРАННОМУ ЯЗЫКУ ...
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