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Imperial College London Submission to VATEX Video Captioning Task., , , , and . CoRR, (2019)A Post-Editing Dataset in the Legal Domain: Do we Underestimate Neural Machine Translation Quality?, , , , , , , , and . LREC, page 3692-3697. European Language Resources Association, (2020)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)WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation., , and . WMT (2), page 494-500. Association for Computational Linguistics, (2019)From Understanding to Utilization: A Survey on Explainability for Large Language Models., and . CoRR, (2024)Burst2Vec: An Adversarial Multi-Task Approach for Predicting Emotion, Age, and Origin from Vocal Bursts., and . CoRR, (2022)Scene Text Recognition with Semantics., , , and . CoRR, (2022)Translation Error Detection as Rationale Extraction., , and . CoRR, (2021)Pangeanic in the EXPERT Project: Exploiting Empirical appRoaches to Translation., , , , and . MTSummit (European projects), (2013)Sentence-level confidence estimation for MT., , , , , , , and . SMART@EAMT, European Association for Machine Translation, (2009)