Abstract
This paper presents the construction of an Urdu Sense Tagged corpus using four main lexical resources; an Urdu wordlist consisting of 5000 high frequency content words, a 100K words corpus annotated with part of speech (POS) tags, an Urdu WordNet with approximately 5058 senses and Urdu morphological analyzer. The paper also briefly presents Urdu Word-Sense Annotation tool, a software tool developed to provide an easy interface for sense tagging, ensuring tagging consistency and accelerating the annotation speed. In this version of the Urdu Sense tagged corpus, 17,006 words have been sense tagged with 2285 unique senses. The final section discusses the linguistic and tool specific challenges in the construction of sense tagged corpus and describes future work in this context.
Saba Urooj, Sana Shams, Sarmad Hussain, Farah Adeeba. (2014) Sense Tagged CLE Urdu Digest Corpus, Conference on Language and Technology 2014.
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Publisher
Center for Language Engineering
Country
Pakistan
City
Karachi
From
13-11-2014
To
15-11-2014