Paper: Improving Query Spelling Correction Using Web Search Results

ACL ID D07-1019
Title Improving Query Spelling Correction Using Web Search Results
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007

Traditional research on spelling correction in natural language processing and infor- mation retrieval literature mostly relies on pre-defined lexicons to detect spelling er- rors. But this method does not work well for web query spelling correction, because there is no lexicon that can cover the vast amount of terms occurring across the web. Recent work showed that using search query logs helps to solve this problem to some extent. However, such approaches cannot deal with rarely-used query terms well due to the data sparseness problem. In this paper, a novel method is proposed for use of web search results to improve the existing query spelling correction models solely based on query logs by leveraging the rich information on the web related to the query and its top-ranked candidate. Ex-...