Paper: Extracting Key Semantic Terms From Chinese Speech Query For Web Searches

ACL ID P03-1032
Title Extracting Key Semantic Terms From Chinese Speech Query For Web Searches
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2003
Authors

This paper discusses the challenges and pro- poses a solution to performing information re- trieval on the Web using Chinese natural language speech query. The main contribution of this re- search is in devising a divide-and-conquer strategy to alleviate the speech recognition errors. It uses the query model to facilitate the extraction of main core semantic string (CSS) from the Chinese natu- ral language speech query. It then breaks the CSS into basic components corresponding to phrases, and uses a multi-tier strategy to map the basic components to known phrases in order to further eliminate the errors. The resulting system has been found to be effective.