Abstract
In this paper, we describe a release of a sizeable monolingual Urdu corpus automatically tagged with part-of-speech tags. We extend the work of Jawaid and Bojar (2012) who use three different taggers and then apply a voting scheme to disambiguate among the different choices suggested by each tagger. We run this complex ensemble on a large monolingual corpus and release the tagged corpus. Additionally, we use this data to train a single standalone tagger which will hopefully significantly simplify Urdu processing. The standalone tagger obtains the accuracy of 88.74% on test data.- Anthology ID:
- L14-1449
- Volume:
- Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
- Month:
- May
- Year:
- 2014
- Address:
- Reykjavik, Iceland
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 2938–2943
- Language:
- URL:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/544_Paper.pdf
- DOI:
- Cite (ACL):
- Bushra Jawaid, Amir Kamran, and Ondřej Bojar. 2014. A Tagged Corpus and a Tagger for Urdu. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2938–2943, Reykjavik, Iceland. European Language Resources Association (ELRA).
- Cite (Informal):
- A Tagged Corpus and a Tagger for Urdu (Jawaid et al., LREC 2014)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/544_Paper.pdf