Abstract
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.
| Original language | English |
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| 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) |
| Pages | 17-20 |
| Number of pages | 4 |
| ISBN (Print) | 9781937284756 |
| Publication status | Published - 2014 |
| Externally published | Yes |
| 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 | Conference of the European Chapter of the Association for Computational Linguistics (14th : 2014) |
|---|---|
| City | Gothenburg, Sweden |
| Period | 26/04/14 → 30/04/14 |