Towards building a Kashmiri Treebank: Setting up the Annotation Pipeline

Riyaz Ahmad Bhat, Shahid Mushtaq Bhat, Dipti Misra Sharma


Abstract
Kashmiri is a resource poor language with very less computational and language resources available for its text processing. As the main contribution of this paper, we present an initial version of the Kashmiri Dependency Treebank. The treebank consists of 1,000 sentences (17,462 tokens), annotated with part-of-speech (POS), chunk and dependency information. The treebank has been manually annotated using the Paninian Computational Grammar (PCG) formalism (Begum et al., 2008; Bharati et al., 2009). This version of Kashmiri treebank is an extension of its earlier verion of 500 sentences (Bhat, 2012), a pilot experiment aimed at defining the annotation guidelines on a small subset of Kashmiri corpora. In this paper, we have refined the guidelines with some significant changes and have carried out inter-annotator agreement studies to ascertain its quality. We also present a dependency parsing pipeline, consisting of a tokenizer, a stemmer, a POS tagger, a chunker and an inter-chunk dependency parser. It, therefore, constitutes the first freely available, open source dependency parser of Kashmiri, setting the initial baseline for Kashmiri dependency parsing.
Anthology ID:
L14-1187
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Venue:
LREC
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Publisher:
European Language Resources Association (ELRA)
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Pages:
748–752
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/18_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Riyaz Ahmad Bhat, Shahid Mushtaq Bhat, and Dipti Misra Sharma. 2014. Towards building a Kashmiri Treebank: Setting up the Annotation Pipeline. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 748–752, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Towards building a Kashmiri Treebank: Setting up the Annotation Pipeline (Bhat et al., LREC 2014)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/18_Paper.pdf