VIDA provides 2,500 visually-dependent ambiguous translation examples and span-level disambiguation metrics; CoT-SFT on LVLMs improves out-of-distribution performance over standard SFT.
Neural Machine Translation with Extended Context
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A post-hoc framework using fertility and entropy from word alignments on reference translations shows context redistributes responsibility to context tokens for function words but not content words across three language pairs.
citing papers explorer
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VIDA: A dataset for Visually Dependent Ambiguity in Multimodal Machine Translation
VIDA provides 2,500 visually-dependent ambiguous translation examples and span-level disambiguation metrics; CoT-SFT on LVLMs improves out-of-distribution performance over standard SFT.
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Which Tokens Need Context? A Reference-Based Analysis of Translation Responsibility Using Fertility and Entropy
A post-hoc framework using fertility and entropy from word alignments on reference translations shows context redistributes responsibility to context tokens for function words but not content words across three language pairs.