FELIPE
SANCHEZ MARTINEZ
PROFESOR/A TITULAR UNIVERSIDAD
JUAN ANTONIO
PEREZ ORTIZ
PROFESOR/A TITULAR UNIVERSIDAD
Publicacions en què col·labora amb JUAN ANTONIO PEREZ ORTIZ (30)
2024
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Curated Datasets and Neural Models for Machine Translation of Informal Registers between Mayan and Spanish Vernaculars
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL 2024
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Non-Fluent Synthetic Target-Language Data Improve Neural Machine Translation
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 46, Núm. 2, pp. 837-850
2023
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Exploiting large pre-trained models for low-resource neural machine translation
Proceedings of the 24th Annual Conference of the European Association for Machine Translation, EAMT 2023
2022
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Cross-lingual neural fuzzy matching for exploiting target-language monolingual corpora in computer-aided translation
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022
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How neural machine translation works
Machine translation for everyone: Empowering users in the age of artificial intelligence (Language Science Press), pp. 141-164
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MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)
EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
2021
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Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
EMNLP 2021 - 2021 Conference on Empirical Methods in Natural Language Processing, Proceedings
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Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach
2021 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP 2021)
2020
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An English-Swahili parallel corpus and its use for neural machine translation in the news domain
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, EAMT 2020
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Understanding the effects of word-level linguistic annotations in under-resourced neural machine translation
COLING 2020 - 28th International Conference on Computational Linguistics, Proceedings of the Conference
2019
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The Universitat d'Alacant submissions to the English-to-Kazakh news translation task at WMT 2019
FOURTH CONFERENCE ON MACHINE TRANSLATION (WMT 2019)
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The universitat d'alacant submissions to the English-to-Kazakh news translation task at WMT 2019
WMT 2019 - 4th Conference on Machine Translation, Proceedings of the Conference
2018
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Proceedings of the 21st Annual Conference of the European Association for Machine Translation: 28-30 May 2018, Universitat d'Alacant, Alacant, Spain
European Association for Machine Translation
2017
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Assisting non-expert speakers of under-resourced languages in assigning stems and inflectional paradigms to new word entries of morphological dictionaries
Language Resources and Evaluation, Vol. 51, Núm. 4, pp. 989-1017
2016
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Integrating rules and dictionaries from shallow-transfer machine translation into phrase-based statistical machine translation
Journal of Artificial Intelligence Research, Vol. 55, pp. 17-61
2015
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A generalised alignment template formalism and its application to the inference of shallow-transfer machine translation rules from scarce bilingual corpora
Computer Speech and Language, Vol. 32, Núm. 1, pp. 46-90
2014
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An efficient method to assist non-expert users in extending dictionaries by assigning stems and inflectional paradigms to unknown words
Proceedings of the 17th Annual Conference of the European Association for Machine Translation, EAMT 2014
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The UA-prompsit hybrid machine translation system for the 2014 workshop on statistical machine translation
Proceedings of the Annual Meeting of the Association for Computational Linguistics
2011
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Apertium: A free/open-source platform for rule-based machine translation
Machine Translation, Vol. 25, Núm. 2, pp. 127-144
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Enriching a statistical machine translation system trained on small parallel corpora with rule-based bilingual phrases
International Conference Recent Advances in Natural Language Processing, RANLP