This paper describes our robust, easyto-use and language independent toolkit namely RDRPOSTagger which employs an error-driven approach to automatically construct a Single Classification Ripple Down Rules tree of transformation rules for POS tagging task. During the demonstration session, we will run the tagger on data sets in 15 different languages.
|Title of host publication||EACL 2014|
|Subtitle of host publication||Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics|
|Place of Publication||Pennsylvania|
|Publisher||Association for Computational Linguistics (ACL)|
|Number of pages||4|
|Publication status||Published - 2014|
|Event||Conference of the European Chapter of the Association for Computational Linguistics (14th : 2014) - Gothenburg, Sweden|
Duration: 26 Apr 2014 → 30 Apr 2014
|Conference||Conference of the European Chapter of the Association for Computational Linguistics (14th : 2014)|
|Period||26/04/14 → 30/04/14|
Nguyen, D. Q., Nguyen, D. Q., Pham, D. D., & Pham, S. B. (2014). RDRPOSTagger: A Ripple Down Rules-based Part-Of-Speech Tagger. In EACL 2014: Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics (pp. 17-20). Pennsylvania: Association for Computational Linguistics (ACL).