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WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation.

, , and . WMT (2), page 494-500. Association for Computational Linguistics, (2019)

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A Focused Analysis of Twitter-based Disinformation from Foreign Influence Operations., and . KnOD@WWW, volume 2877 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation., , and . WMT (2), page 494-500. Association for Computational Linguistics, (2019)Towards Integration of Embodiment Features for Prosodic Prominence Prediction from Text.. ICMI Companion, page 42-45. ACM, (2022)Deciding When, How and for Whom to Simplify., , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 2172-2179. IOS Press, (2020)Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks., , and . HLC, volume 3227 of CEUR Workshop Proceedings, page 24-28. CEUR-WS.org, (2022)Probing the Need for Visual Context in Multimodal Machine Translation., , , and . NAACL-HLT (1), page 4159-4170. Association for Computational Linguistics, (2019)Cross-lingual Visual Pre-training for Multimodal Machine Translation., , , , , , and . EACL, page 1317-1324. Association for Computational Linguistics, (2021)Deep Copycat Networks for Text-to-Text Generation., , and . EMNLP/IJCNLP (1), page 3225-3234. Association for Computational Linguistics, (2019)Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale., , and . COLING, page 2322-2328. International Committee on Computational Linguistics, (2020)Are words equally surprising in audio and audio-visual comprehension?, , and . CogSci, cognitivesciencesociety.org, (2023)