Accurate Query Translation for Japanese-English Cross-Language Information Retrieval

Vitaly Klyuev (1) , Yannis Haralambous (2)

1 University of Aizu
2 Lab-STICC_TB_CID_DECIDE

In this paper, a novel approach to translate queries from Japanese into English for the CLIR task is discussed. To get all possible English senses for every Japanese term, the online dictionary SPACEALC is utilized. The EWC semantic relatedness measure is used to select the most related meanings for the results of translation. This measure combines the Wikipedia-based Explicit Semantic Analysis measure, the WordNet path measure and the mixed collocation index. The preliminary tests of the proposed technique are done utilizing the NTCIR data collection. The performance of retrieval is compared with the variant of retrieval using queries generated by Google Translate.

Mots clés: EWC; CLIR; Automatic Query Translation; Search; EWC

Domaines: Informatique [cs]

Vitaly Klyuev, Yannis Haralambous. Accurate Query Translation for Japanese-English Cross-Language Information Retrieval. PECCS 2012: 2nd international conference on pervasive and embedded computing and communications systems, Feb 2012, Rome, Italy. pp.214-219, ⟨10.5220/0003905902140219⟩. ⟨hal-00959934⟩