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FBK_NK: A WordNet-Based System for Multi-Way Classification of Semantic Relations.

, and . SemEval@ACL, page 202-205. The Association for Computer Linguistics, (2010)

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ITC-irst at TREC 2003: the DIOGENE QA System., , , and . TREC, volume 500-255 of NIST Special Publication, page 349-357. National Institute of Standards and Technology (NIST), (2003)Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario., , , , and . EACL (2), page 280-284. Association for Computational Linguistics, (2017)Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation., , and . EAMT, page 235-244. European Association for Machine Translation, (2020)Evaluation of Terminology Translation in Instance-Based Neural MT Adaptation., , , , and . EAMT, page 169-178. (2018)Extending the MuST-C Corpus for a Comparative Evaluation of Speech Translation Technology., , , , , and . EAMT, page 359-360. European Association for Machine Translation, (2022)Translation Quality and Productivity: A Study on Rich Morphology Languages., , , , , , , and . MTSummit (1), page 55-71. (2017)Enhancing Transformer for End-to-end Speech-to-Text Translation., , , , and . MTSummit (1), page 21-31. European Association for Machine Translation, (2019)Multi-source Transformer for Automatic Post-Editing., , , and . CLiC-it, volume 2253 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Assessing the Impact of Translation Errors on Machine Translation Quality with Mixed-effects Models., , , and . EMNLP, page 1643-1653. ACL, (2014)Quality Estimation for Automatic Speech Recognition., , , and . COLING, page 1813-1823. ACL, (2014)