构建首个日英旅行笔记地理对齐翻译数据集，助力多语言地理信息公平访问。
ATD-Trans: A Geographically Grounded Japanese-English Travelogue Translation Dataset
- 基于真实旅行笔记构建日英双语地理对齐数据集
- 发现日语增强模型翻译效果更优，国内地名翻译难度更高
- 适合研究地理文本翻译、跨语言信息获取的学者使用
地理文本（富含地理信息的文本）是旅游管理等地理应用的重要资源。使非母语者也能获取此类信息，能进一步提升其价值，因此准确的机器翻译对实现多语言地理信息平等访问至关重要。为支持地理文本的深入分析，我们提出了ATD-Trans——一个基于地理场景的日英旅行笔记翻译数据集，可评估模型在整体及地理实体层面的翻译质量，覆盖日本国内与海外地区。我们在现有语言模型上进行实验，考察模型语言侧重与地理区域两个因素的影响。结果表明，日语增强型模型表现更优，且旅行博客中提及的日本国内地理实体翻译难度更大。
原文摘要 · Abstract (English)
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 translation (MT) is essential for equity in multilingual geo-information access. To facilitate in-depth analysis for geographic text, we introduce ATD-Trans, a geographically grounded Japanese--English travelogue translation dataset, which enables evaluation of MT quality at both the overall and geo-entity levels across domestic (within Japan) and overseas regions. Our experiments on existing language models examine two factors: model language focus and geographic regions. The results highlight advantages of Japanese-enhanced models and greater difficulty in translating domestic-region geo-entities mentioned in travel blogs.
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