Paper: Language Identification of Search Engine Queries

ACL ID P09-1120
Title Language Identification of Search Engine Queries
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2009
Authors

We consider the language identification problem for search engine queries. First, we propose a method to automatically generate a data set, which uses click- through logs of the Yahoo! Search En- gine to derive the language of a query indi- rectly from the language of the documents clicked by the users. Next, we use this data set to train two decision tree classi- fiers; one that only uses linguistic features and is aimed for textual language identi- fication, and one that additionally uses a non-linguistic feature, and is geared to- wards the identification of the language intended by the users of the search en- gine. Our results show that our method produces a highly reliable data set very ef- ficiently, and our decision tree classifier outperforms some of the best methods that have been...