Caption vs. Query Translation for Cross-Language Image Retrieval
Caption vs. Query Translation for Cross-Language Image Retrieval
复制标题
跨语言图像检索的标题与查询翻译
DOI：
10.1007/11519645_60
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
Paul D. Clough
中科院分区：
文献类型：
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作者：
Paul D. Clough
对于许多跨语言检索任务，主要的方法是将查询翻译成文档集合的语言（目标语言）。这通常会产生与将文档集合翻译成查询语言（源语言）一样好的结果（如果不是更好的话）。在本文中，我们评估查询与文件翻译的ImageCLEF 2004年双语特设检索任务。图像检索是通过匹配文本查询相关的图像标题为以下语言：法语，德语，西班牙语和意大利语使用商业和公开可用的资源。平均而言，我们发现查询翻译优于文档翻译（英语MAP为77%，而英语MAP为65%），但这在语言和查询之间差异很大。结合文档和查询翻译，我们实现了平均85%的英语MAP。
For many cross-language retrieval tasks, the predominant approach is to translate the query into the language of the document collection (target language). This often gives results as good as, if not better, than translating the document collection into the query language (source language). In this paper, we evaluate query versus document translation for the ImageCLEF 2004 bilingual ad hoc retrieval task. Image retrieval is achieved through matching textual queries to associated image captions for the following languages: French, German, Spanish and Italian using commercially and publicly available resources. On average, we find query translation to outperform document translation (77% of English MAP compared to 65% respectively) but this varies widely across language and query. Combining document and query translation we achieve an average MAP of 85% of English.