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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... 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) BASE Show 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 Abstract: We describe a hybridisation strategy whose objective is to integrate linguistic resources from shallow-transfer rule-based machine translation (RBMT) into phrase-based statistical machine translation (PBSMT). It basically consists of enriching the phrase table of a PBSMT system with bilingual phrase pairs matching transfer rules and dictionary entries from a shallow-transfer RBMT system. This new strategy takes advantage of how the linguistic resources are used by the RBMT system to segment the source-language sentences to be translated, and overcomes the limitations of existing hybrid approaches that treat the RBMT systems as a black box. Experimental results confirm that our approach delivers translations of higher quality than existing ones, and that it is specially useful when the parallel corpus available for training the SMT system is small or when translating out-of-domain texts that are well covered by the RBMT dictionaries. A combination of this approach with a recently proposed unsupervised shallow-transfer rule inference algorithm results in a significantly greater translation quality than that of a baseline PBSMT; in this case, the only hand-crafted resource used are the dictionaries commonly used in RBMT. Moreover, the translation quality achieved by the hybrid system built with automatically inferred rules is similar to that obtained by those built with hand-crafted rules. ; Research funded by the Spanish Ministry of Economy and Competitiveness through projects TIN2009-14009-C02-01 and TIN2012-32615, by Generalitat Valenciana through grant ACIF 2010/174, and by the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement PIAP-GA-2012-324414 (Abu-MaTran). Keyword: Integrating; Lenguajes y Sistemas Informáticos; Linguistic resources; Machine translation; Phrase-based; Rule-based; Shallow-transfer URL: https://doi.org/10.1613/jair.4761 http://hdl.handle.net/10045/52507 BASE Hide 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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