DocumentCode :
2792259
Title :
Research on Chinese-English Cross-Language Information Retrieval
Author :
Zhang, Tao ; Zhang, Yue-jie
Author_Institution :
Sch. of Inf. Manage. & Eng., Shanghai Univ. of Finance & Econ., Shanghai
Volume :
5
fYear :
2008
fDate :
12-15 July 2008
Firstpage :
2591
Lastpage :
2596
Abstract :
With the rapid growing amount of available information, an important problem is formed, to match the user queries specified in one language against documents in another different language, i.e. cross-language information retrieval. Based on the work for cross-language information retrieval evaluation task in the 9th Text Retrieval Conference, a Chinese-English cross-language information retrieval pattern has been constructed. In this pattern, Chinese-English query translation is adopted as the dominant strategy, Chinese queries are used as translation objects, and Chinese-English machine readable dictionaries are utilized as the important knowledge source to acquire correct translations. By combining English monolingual information retrieval module constructed, the Chinese-English cross-language information retrieval process can be implemented successfully.
Keywords :
natural language processing; query processing; 9th Text Retrieval Conference; Chinese-English cross-language information retrieval; Chinese-English query translation; English monolingual information retrieval module; knowledge source; machine readable dictionaries; translation objects; Computer science; Cybernetics; Dictionaries; Finance; Indexing; Information management; Information retrieval; Machine learning; NIST; Natural languages; Cross-language information retrieval; Information retrieval; Machine readable dictionary; Machine translation; Word segmentation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location :
Kunming
Print_ISBN :
978-1-4244-2095-7
Electronic_ISBN :
978-1-4244-2096-4
Type :
conf
DOI :
10.1109/ICMLC.2008.4620845
Filename :
4620845
Link To Document :
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