G con: A graph-based technique for resolving ambiguity in query translation candidates

Zhou, Dong; Truran, Mark; Brailsford, Tim; Ashman, Helen; Goulding, James

Abstract

In the field of cross-language information retrieval (CLIR), the resolution of lexical ambiguity is a key challenge. Common mechanisms for the translation of query terms from one language to another typically produce a set of possible translation candidates, rather than some authoritative result. Correctly reducing a list of possible candidates down to a single translation is an enduring problem. Thus far, solutions have concentrated upon the use of the use of term co-occurrence information to guide the process of resolving translation-based ambiguity. In this paper we introduce a new disambiguation strategy which employs a graph-based analysis of generated co-occurrence data to determine the most appropriate translation for a given term.

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: 2008 ACM symposium on Applied computing
• Acceptance Date: Jan 1, 2008
• Publication Date: Mar 16, 2008
• Deposit Date: Oct 4, 2018
• Peer Reviewed: Peer Reviewed
• Pages: 1566-1573
• ISBN: 9781595937537
• Public URL: https://uwe-repository.worktribe.com/output/1014248
• Additional Information: Title of Conference or Conference Proceedings : Proceedings of the 2008 ACM symposium on Applied computing (SAC 08)
• Contract Date: Oct 5, 2018