论文信息 - Combining Query Translation Techniques to Improve Cross-Language Information Retrieval

Combining Query Translation Techniques to Improve Cross-Language Information Retrieval

In this paper we address the combination of query translation approaches for cross-language information retrieval (CLIR). We translate queries with Google Translate and extend them with new translations obtained by mapping noun phrases in the query to concepts in the target language using Wikipedia. For two CLIR collections, we show that the proposed model provides meaningful translations that improve the strong baseline CLIR model based on a top performing SMT system.

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