Lenguajes y Sistemas Informáticos
Departamento
Dublin City University
Dublín, IrlandaPublicaciones en colaboración con investigadoras/es de Dublin City University (12)
2023
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Deep Dive Data and Knowledge
Cognitive Technologies (Springer Science and Business Media Deutschland GmbH), pp. 337-359
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Deep Dive Machine Translation
Cognitive Technologies (Springer Science and Business Media Deutschland GmbH), pp. 263-287
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Deep Dive Text Analytics and Natural Language Understanding
Cognitive Technologies (Springer Science and Business Media Deutschland GmbH), pp. 313-336
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Strategic Plans and Projects in Language Technology and Artificial Intelligence
Cognitive Technologies (Springer Science and Business Media Deutschland GmbH), pp. 361-386
2022
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Overview of the ELE Project
EAMT 2022 - Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
2020
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Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation
58TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2020)
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Selecting backtranslated data from multiple sources for improved neural machine translation
Proceedings of the Annual Meeting of the Association for Computational Linguistics
2018
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Preface
Communications in Computer and Information Science
2017
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A standard-based framework to integrate software work in small settings
Computer Standards and Interfaces, Vol. 54, pp. 162-175
2014
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Quizzes on tap: Exporting a test generation system from one less-resourced language to another
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2013
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Overview of the SPMRL 2013 shared task: Cross-framework evaluation of parsing morphologically rich languages
SPMRL 2013 - 4th Workshop on Statistical Parsing of Morphologically Rich Languages, Proceedings of the Workshop
2006
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Example-based machine translation of the Basque language
AMTA 2006 - Proceedings of the 7th Conference of the Association for Machine Translation of the Americas: Visions for the Future of Machine Translation