What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages
Long Duong, Trevor Cohn, Karin Verspoor, Steven Bird, Paul Cook
- Anthology ID:
- D14-1096
- Original:
- D14-1096v1
- Version 2:
- D14-1096v2
- Volume:
- Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Month:
- October
- Year:
- 2014
- Address:
- Doha, Qatar
- Editors:
- Alessandro Moschitti, Bo Pang, Walter Daelemans
- Venue:
- EMNLP
- SIG:
- SIGDAT
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 886–897
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/D14-1096/
- DOI:
- 10.3115/v1/D14-1096
- Cite (ACL):
- Long Duong, Trevor Cohn, Karin Verspoor, Steven Bird, and Paul Cook. 2014. What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 886–897, Doha, Qatar. Association for Computational Linguistics.
- Cite (Informal):
- What Can We Get From 1000 Tokens? A Case Study of Multilingual POS Tagging For Resource-Poor Languages (Duong et al., EMNLP 2014)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/D14-1096.pdf