Publikation: Towards Identifying Hindi/Urdu Noun Templates in Support of a Large-Scale LFG Grammar
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Complex predicates (CPs) are a highly productive predicational phenomenon in Hindi and Urdu and present a challenge for deep syntactic parsing. For CPs, a combination of a noun and light verb express a single event. The combinatorial preferences of nouns with one (or more) light verb is useful for predicting an instance of a CP. In this paper, we present a semi-automatic method to obtain noun groups based on their co-occurrences with light verbs. These noun groups represent the likelihood of a particular noun-verb combination in a large corpus. Finally, in order to encode this in an LFG grammar, we propose linking nouns with templates that describe preferable combinations with light verbs.
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SULGER, Sebastian, Ashwini VAIDYA, 2014. Towards Identifying Hindi/Urdu Noun Templates in Support of a Large-Scale LFG Grammar. COLING 2014 : 25th International Confernce on Computational Linguistics. Dublin, Irland, 23. Aug. 2014 - 29. Aug. 2014. In: CHRISTIAN BOITET ..., , ed.. COLING 2014: the 25th International Conference on Computational Linguistics ; Proceedings of the Conference ; the 5th Workshop on South and Southeast Asian NLP, WSSANLP 2014. Dublin: Association for Computational Linguistics and Dublin City University, 2014, pp. 1-10. ISBN 978-1-873769-41-6BibTex
@inproceedings{Sulger2014Towar-30031, year={2014}, title={Towards Identifying Hindi/Urdu Noun Templates in Support of a Large-Scale LFG Grammar}, url={http://aclweb.org/anthology/W/W14/W14-5501.pdf}, isbn={978-1-873769-41-6}, publisher={Association for Computational Linguistics and Dublin City University}, address={Dublin}, booktitle={COLING 2014: the 25th International Conference on Computational Linguistics ; Proceedings of the Conference ; the 5th Workshop on South and Southeast Asian NLP, WSSANLP 2014}, pages={1--10}, editor={Christian Boitet ...}, author={Sulger, Sebastian and Vaidya, Ashwini} }
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