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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 1 – 20 of 56 1 MultiTraiNMT: training materials to approach neural machine translation from scratch ; MultiTraiNMT: des outils pour se former à la traduction automatique neuronale Ramírez-Sánchez, Gema; Antonio Pérez-Ortiz, Juan; Sánchez-Martínez, Felipe; Rossi, Caroline; Kenny, Dorothy; Superbo, Riccardo; Sánchez-Gijón, Pilar; Torres-Hostench, Olga In: TRITON 2021 (Translation and Interpreting Technology Online) ; https://hal.archives-ouvertes.fr/hal-03272570 ; TRITON 2021 (Translation and Interpreting Technology Online), Jul 2021, Online, United Kingdom (2021) Abstract: International audience ; The aim of the MultiTraiNMT Erasmus+ project is to develop an open innovative syllabus in neural machine translation (NMT) for language learners and translators as multilingual citizens. Machine translation is seen as a resource that can provide support for citizens when trying to acquire and develop language skills, provided they are given informed and critical training. Machine translation would thus help tackle the mismatch between the EU aim of having multilingual citizens who speak at least two foreign languages and the current situation in which citizens generally fall far short of this objective. The training materials consist of an open-access coursebook, an open-source NMT web application called MutNMT for training purposes and corresponding activities. ; L'objectif du projet Erasmus+ MultiTraiNMT est de développer un programme de cours ouvert et innovant en traduction automatique neuronale (TAN) pour favoriser le multilinguisme de nos citoyens européens, qu'ils soient apprenants en langues ou (apprentis) traducteurs. La traduction automatique est considérée comme une ressource qui peut aider les citoyens à acquérir et à développer des compétences linguistiques, à condition qu'ils reçoivent une formation informée et critique. Elle permettrait ainsi de réduire l'écart actuellement observable entre l'objectif de l'UE de disposer de citoyens multilingues parlant au moins deux langues étrangères et la situation actuelle dans laquelle nos concitoyens sont généralement loin d'atteindre cet objectif. Le matériel de formation se compose d'un manuel de cours en accès libre, d'une application web ouverte pour la prise en main et l'entraînement de moteurs de TAN appelée MutNMT et d'un ensemble d'activités correspondantes. Keyword: [INFO.INFO-CL]Computer Science [cs]/Computation and Language [cs.CL]; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; machine translation; multilingual citizens; neural machine translation; project description; training URL: https://hal.archives-ouvertes.fr/hal-03272570/file/TRITON_conference%20MultiTraiNMT.pdf https://hal.archives-ouvertes.fr/hal-03272570 https://hal.archives-ouvertes.fr/hal-03272570/document BASE Hide details 2 Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Esplà-Gomis, Miquel; Pérez-Ortiz, Juan Antonio. - : Underline Science Inc., 2021 BASE Show details 3 Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach Sánchez-Cartagena, Víctor M.; Sánchez-Martínez, Felipe; Pérez-Ortiz, Juan Antonio. - : Association for Computational Linguistics, 2021 BASE Show details 4 Fuzzy-Match Repair in Computer-Aided Translation Using Black-Box Machine Translation Ortega, John E.. - : Universidad de Alicante, 2021 BASE Show details 5 Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation ... The 28th International Conference on Computational Linguistics 2020; Pérez-Ortiz, Juan Antonio; Sánchez-Cartagena, Víctor Manuel. - : Underline Science Inc., 2020 BASE Show details 6 Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio; Sánchez-Martínez, Felipe. - : Association for Computational Linguistics, 2020 BASE Show details 7 The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 ... Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio; Sánchez-Martínez, Felipe. - : Zenodo, 2019 BASE Show details 8 The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019 ... Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio; Sánchez-Martínez, Felipe. - : Zenodo, 2019 BASE Show details 9 Reading comprehension of machine translation output: what makes for a better read? Castilho, Sheila; Guerberof Arenas, Ana In: Castilho, Sheila orcid:0000-0002-8416-6555 and Guerberof Arenas, Ana orcid:0000-0001-9820-7074 (2018) Reading comprehension of machine translation output: what makes for a better read? In: 21st Annual Conference of the European for Machine Translation, 28-30 May 2018, Alacant/Alicante, Spain. ISBN 978-84-09-01901-4 (2018) BASE Show details 10 Predicting insertion positions in word-level machine translation quality estimation Esplà-Gomis, Miquel; Sánchez-Martínez, Felipe; Forcada, Mikel L.. - : Elsevier, 2018 BASE Show details 11 Towards Optimizing MT for Post-Editing Effort: Can BLEU Still Be Useful? Forcada, Mikel L.; Sánchez-Martínez, Felipe; Esplà-Gomis, Miquel. - : De Gruyter, 2017 BASE Show details 12 Assisting non-expert speakers of under-resourced languages in assigning stems and inflectional paradigms to new word entries of morphological dictionaries Forcada, Mikel L.; Carrasco, Rafael C.; Pérez-Ortiz, Juan Antonio. - : Springer Science+Business Media Dordrecht, 2017 BASE Show details 13 Towards Optimizing MT for Post-Editing Effort: Can BLEU Still Be Useful? Forcada Mikel L.; Sánchez-Martínez Felipe; Esplà-Gomis Miquel... In: Prague Bulletin of Mathematical Linguistics , Vol 108, Iss 1, Pp 183-195 (2017) (2017) BASE Show details 14 Integrating Rules and Dictionaries from Shallow-Transfer Machine Translation into Phrase-Based Statistical Machine Translation Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio; Sánchez-Martínez, Felipe. - : AI Access Foundation, 2016 BASE Show details 15 RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation Pérez-Ortiz, Juan Antonio; Sánchez-Cartagena, Víctor M.; Sánchez-Martínez, Felipe. - : De Gruyter, 2016 BASE Show details 16 Phrase-based statistical machine translation: explanation of its processes and statistical models and evaluation of the English to Spanish translations produced Pérez García, Isabel María. - 2016 BASE Show details 17 Using external sources of bilingual information for word-level quality estimation in translation technologies Esplà-Gomis, Miquel. - : Universidad de Alicante, 2016 BASE Show details 18 RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation Sánchez-Cartagena Víctor M.; Pérez-Ortiz Juan Antonio; Sánchez-Martínez Felipe In: Prague Bulletin of Mathematical Linguistics , Vol 106, Iss 1, Pp 193-204 (2016) (2016) BASE Show details 19 A generalised alignment template formalism and its application to the inference of shallow-transfer machine translation rules from scarce bilingual corpora Sánchez-Cartagena, Víctor M.; Pérez-Ortiz, Juan Antonio; Sánchez-Martínez, Felipe. - : Elsevier, 2015 BASE Show details 20 Using Machine Translation to Provide Target-Language Edit Hints in Computer Aided Translation Based on Translation Memories Esplà-Gomis, Miquel; Sánchez-Martínez, Felipe; Forcada, Mikel L.. - : AI Access Foundation, 2015 BASE Show details Page: 1 2 3

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