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Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description

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arxiv 1710.07177 v1 pith:2DQGTG4Z submitted 2017-10-19 cs.CL cs.CV

Findings of the Second Shared Task on Multimodal Machine Translation and Multilingual Image Description

classification cs.CL cs.CV
keywords imagemultimodaltaskdescriptionmultilingualsystemstranslationmachine
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present the results from the second shared task on multimodal machine translation and multilingual image description. Nine teams submitted 19 systems to two tasks. The multimodal translation task, in which the source sentence is supplemented by an image, was extended with a new language (French) and two new test sets. The multilingual image description task was changed such that at test time, only the image is given. Compared to last year, multimodal systems improved, but text-only systems remain competitive.

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Cited by 2 Pith papers

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  1. VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation

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  2. VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation

    cs.CL 2026-05 unverdicted novelty 6.0

    VIDA provides 2,500 visually-dependent ambiguous MT instances and LLM-judge metrics; chain-of-thought SFT improves disambiguation accuracy over standard SFT, especially out-of-distribution.