Papers › Automatic Bilingual Markup Transfer

Automatic Bilingual Markup Transfer

1 Nov 2021Findings (EMNLP) 2021 11archive 2025-07-28

Thomas Zenkel, Joern Wuebker, John DeNero

We describe the task of bilingual markup transfer, which involves placing markup tags from a source sentence into a fixed target translation. This task arises in practice when a human translator generates the target translation without markup, and then the system infers the placement of markup tags. This task contrasts from previous work in which markup transfer is performed jointly with machine translation. We propose two novel metrics and evaluate several approaches based on unsupervised word alignments as well as a supervised neural sequence-to-sequence model. Our best approach achieves an average accuracy of 94.7% across six language pairs, indicating its potential usefulness for real-world localization tasks.

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lilt/markup-tag-evaluation officialmentioned in paper report
lilt/markup-transfer-scripts officialmentioned in paperMIT report

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