Translation of Unknown Terms via Web Mining for Information Retrieval

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 439
  • Download : 1
Many English words appear in Asian language texts, especially in the news reports and technical documents. Although a foreign term and its counterpart in English refer to the same concept, they are erroneously treated as independent index units in traditional monolingual IR. For CLIR, one of the major hindrances to achieving retrieval performance at the level of monolingual information retrieval is the translation of terms in queries, which are not found in a bilingual dictionary. This paper describes the degree to which these problems arise in Korean Information Retrieval and suggests a novel approach to solve it. Experimental results based on NTCIR and KT-Set test collections show that the high translation precision of our approach greatly improves the IR performance.
Publisher
Springer Verlag (Germany)
Issue Date
2006
Keywords

cross-language information retrieval; machine translation; indexing

Citation

Lecture Notes in Computer Science, Vol.4182, pp.258-269

ISBN
3-540-45780-1
DOI
10.1007/11880592_20
URI
http://hdl.handle.net/10203/16899
Appears in Collection
CS-Conference Papers(학술회의논문)

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0