A Bayesian Approach to Query Language Identification
| Authors | |
|---|---|
| Year of publication | 2011 |
| Type | Article in Proceedings |
| Conference | Recent Advances in Slavonic Natural Language Processing |
| MU Faculty or unit | |
| Citation | |
| Web | https://nlp.fi.muni.cz/raslan/2011/paper10.pdf |
| Field | Informatics |
| Keywords | language identification; query language; information retrieval |
| Description | In this paper we present a Bayesian approach to language identification of queries sent to an information retrieval system. The aim of the work is to identify both the language of a query as a whole and the language of particular words in the query. The method is evaluated on a test set of manually labelled queries. The evaluation shows that our method performs better than the Google Language Detect API and an implementation of the n-gram method on our testing set of queries. |
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