Abstract
We present an unsupervised approach to part-of-speech tagging based on projections of tags in a word-aligned bilingual parallel corpus. In contrast to the existing state-of-The-art approach of Das and Petrov, we have developed a substantially simpler method by automatically identifying "good" training sentences from the parallel corpus and applying self-training. In experimental results on eight languages, our method achieves state-of-The-art results.
Original language | English |
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Title of host publication | Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics |
Editors | Pascale Fung, Massimo Poesio |
Place of Publication | Sofia, Bulgaria |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 634-639 |
Number of pages | 6 |
Volume | 2 |
ISBN (Print) | 9781937284510 |
Publication status | Published - 2013 |
Externally published | Yes |
Event | 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 - Sofia, Bulgaria Duration: 4 Aug 2013 → 9 Aug 2013 |
Conference
Conference | 51st Annual Meeting of the Association for Computational Linguistics, ACL 2013 |
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Country/Territory | Bulgaria |
City | Sofia |
Period | 4/08/13 → 9/08/13 |