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ACL
2003

Extracting Key Semantic Terms from Chinese Speech Query for Web Searches

11 years 8 months ago
Extracting Key Semantic Terms from Chinese Speech Query for Web Searches
This paper discusses the challenges and proposes a solution to performing information retrieval on the Web using Chinese natural language speech query. The main contribution of this research 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 natural 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.
Gang Wang, Tat-Seng Chua, Yongcheng Wang
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where ACL
Authors Gang Wang, Tat-Seng Chua, Yongcheng Wang
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