Abstract
We propose a mixed language query disambiguation approach by using co-occurrence information from monolingual data only. A mixed language query consists of words in a primary language and a secondary language. Our method translates the query into monolingual queries in either language. Two novel features for disambiguation, namely contextual word voting and 1-best contextual word, are introduced and compared to a baseline feature, the nearest neighbor. Average query translation accuracy for the two features are 81.37% and 83.72%, compared to the baseline accuracy of 75.50%.
| Original language | English |
|---|---|
| Pages (from-to) | 333-340 |
| Number of pages | 8 |
| Journal | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
| Volume | 1999-June |
| Publication status | Published - 1999 |
| Event | 37th Annual Meeting of the Association for Computational Linguistics, ACL 1999 - College Park, United States Duration: 20 Jun 1999 → 26 Jun 1999 |
Bibliographical note
Publisher Copyright:© ACL 1999.All right reserved.