Summary of the paper

Title The CLE Urdu POS Tagset
Authors Saba Urooj, Sarmad Hussain, Asad Mustafa, Rahila Parveen, Farah Adeeba, Tafseer Ahmed Khan, Miriam Butt and Annette Hautli
Abstract The paper presents a design schema and details of a new Urdu POS tagset. This tagset is designed due to challenges encountered in working with existing tagsets for Urdu. It uses tags that judiciously incorporate information about special morpho-syntactic categories found in Urdu. With respect to the overall naming schema and the basic divisions, the tagset draws on the Penn Treebank and a Common Tagset for Indian Languages. The resulting CLE Urdu POS Tagset consists of 12 major categories with subdivisions, resulting in 32 tags. The tagset has been used to tag 100k words of the CLE Urdu Digest Corpus, giving a tagging accuracy of 96.8%.
Topics Part-of-Speech Tagging
Full paper The CLE Urdu POS Tagset
Bibtex @InProceedings{UROOJ14.275,
  author = {Saba Urooj and Sarmad Hussain and Asad Mustafa and Rahila Parveen and Farah Adeeba and Tafseer Ahmed Khan and Miriam Butt and Annette Hautli},
  title = {The CLE Urdu POS Tagset},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
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