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New dataset evaluates Japanese-English travelogue translation quality

Researchers have introduced ATD-Trans, a new dataset designed to evaluate machine translation quality for Japanese-English travelogues, with a focus on geographic information. The dataset allows for assessment at both overall and geo-entity levels, covering domestic and international regions. Experiments using ATD-Trans revealed that Japanese-enhanced language models perform better and that translating geographic entities within Japanese travel blogs presents a greater challenge. AI

影响 This dataset could improve the accuracy of machine translation for travel-related content, making geographic information more accessible across languages.

排序理由 The cluster describes a new academic dataset for evaluating machine translation quality, which falls under research. [lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

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New dataset evaluates Japanese-English travelogue translation quality

报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Masao Utiyama ·

    ATD-Trans: A Geographically Grounded Japanese-English Travelogue Translation Dataset

    Geographic text, or textual data rich in geographic (geo-) information is a valuable source for various geographic applications, e.g., tourism management. Making such information accessible to speakers of other languages further enhances its utility; thus, accurate machine transl…