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Target-Centric Features for Translation Quality Estimation.

, , , and . WMT@ACL, page 329-334. The Association for Computer Linguistics, (2014)

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DCU System Report on the WMT 2017 Multi-modal Machine Translation Task., , and . WMT, page 440-444. Association for Computational Linguistics, (2017)Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing., and . RANLP, page 139-148. INCOMA Ltd., (2017)Is Neural Machine Translation the New State of the Art?, , , , , and . Prague Bull. Math. Linguistics, (2017)Are scene graphs good enough to improve Image Captioning?, , and . CoRR, (2020)Automatic Text Simplification for Spanish: Comparative Evaluation of Various Simplification Strategies., , and . RANLP, page 618-626. RANLP 2015 Organising Committee / ACL, (2015)Incorporating Global Visual Features into Attention-based Neural Machine Translation., and . EMNLP, page 992-1003. Association for Computational Linguistics, (2017)Latent Visual Cues for Neural Machine Translation., , and . CoRR, (2018)An error analysis for image-based multi-modal neural machine translation., and . Mach. Transl., 33 (1-2): 155-177 (2019)VisualSem: a high-quality knowledge graph for vision and language., , , , , , and . CoRR, (2020)Incorporating Global Visual Features into Attention-Based Neural Machine Translation., , and . CoRR, (2017)