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Incorporating Global Visual Features into Attention-based Neural Machine Translation.

, and . EMNLP, page 992-1003. Association for Computational Linguistics, (2017)

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Sentence-Level Multilingual Multi-modal Embedding for Natural Language Processing., and . RANLP, page 139-148. INCOMA Ltd., (2017)DCU System Report on the WMT 2017 Multi-modal Machine Translation Task., , and . WMT, page 440-444. Association for Computational Linguistics, (2017)Multi3Generation: Multitask, Multilingual, Multimodal Language Generation., , , , , , , , , and 5 other author(s). EAMT, page 345-346. European Association for Machine Translation, (2022)Multilingual Multi-modal Embeddings for Natural Language Processing., , and . CoRR, (2017)VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena., , , , , and . CoRR, (2021)Endowing Language Models with Multimodal Knowledge Graph Representations., , , , , , and . CoRR, (2022)Incorporating Global Visual Features into Attention-Based Neural Machine Translation., , and . CoRR, (2017)Wikipedia Entities as Rendezvous across Languages: Grounding Multilingual Language Models by Predicting Wikipedia Hyperlinks., , and . NAACL-HLT, page 3651-3661. Association for Computational Linguistics, (2021)Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation., , , and . INLG, page 1-10. Association for Computational Linguistics, (2017)Overview of the Automated Story Illustration Task at FIRE 2015., , and . FIRE Workshops, volume 1587 of CEUR Workshop Proceedings, page 63-66. CEUR-WS.org, (2015)