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ALTN: Word Alignment Features for Cross-lingual Textual Entailment.

, and . SemEval@NAACL-HLT, page 128-132. The Association for Computer Linguistics, (2013)

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Identification of Bilingual Terms from Monolingual Documents for Statistical Machine Translation, , , and . 4th International Workshop on Computational Terminology (Computerm), (2014)How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation., , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 3576-3589. Association for Computational Linguistics, (2021)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)One-to-Many Multilingual End-to-End Speech Translation., , and . ASRU, page 585-592. IEEE, (2019)Pattern Learning for Event Extraction using Monolingual Statistical Machine Translation., , and . RANLP, page 371-377. RANLP 2011 Organising Committee, (2011)On Neural Forecasting and News Emotions: The Case of the Spanish Stock Market., , , , and . PKDD/ECML Workshops (2), volume 1525 of Communications in Computer and Information Science, page 189-194. Springer, (2021)ALTN: Word Alignment Features for Cross-lingual Textual Entailment., and . SemEval@NAACL-HLT, page 128-132. The Association for Computer Linguistics, (2013)