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Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification.

, , , , and . EMNLP (1), page 8596-8611. Association for Computational Linguistics, (2021)

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Towards Debiasing Translation Artifacts., , , and . NAACL-HLT, page 3983-3991. Association for Computational Linguistics, (2022)EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT., , , , and . WMT@EMNLP, page 368-375. Association for Computational Linguistics, (2021)Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification., , , , and . EMNLP (1), page 8596-8611. Association for Computational Linguistics, (2021)Tracing Source Language Interference in Translation with Graph-Isomorphism Measures., , and . RANLP, page 375-385. INCOMA Ltd., (2021)DCU System Report on the WMT 2017 Multi-modal Machine Translation Task., , and . WMT, page 440-444. Association for Computational Linguistics, (2017)How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech., , , , , and . IWSLT, page 280-290. Association for Computational Linguistics, (2020)Understanding Translationese in Multi-view Embedding Spaces., , and . COLING, page 6056-6062. International Committee on Computational Linguistics, (2020)Translating away Translationese without Parallel Data., , , and . EMNLP, page 7086-7100. Association for Computational Linguistics, (2023)Understanding the Effect of Textual Adversaries in Multimodal Machine Translation., and . LANTERN@EMNLP-IJCNLP, page 35-40. Association for Computational Linguistics, (2019)The RGNLP Machine Translation Systems for WAT 2018., , , and . WAT@PACLIC, Association for Computational Linguistics, (2018)