Logistic regression for automatic lexical level morphological paradigm selection for Konkani nouns

dc.contributor.author	Desai, S.
dc.contributor.author	Pawar, J.D.
dc.contributor.author	Bhattacharyya, P.
dc.date.accessioned	2016-03-04T02:33:55Z
dc.date.available	2016-03-04T02:33:55Z
dc.date.issued	2016
dc.identifier.citation	Proc. of the 12. Int. Conf. on Natural Language Processing (ICON-2015), Ed. by: Dipti Misra Sharma, Rajeev Sangal, Elizabeth Sherly. IIITM-Kerala, Trivandrum. 2016; vp.	en_US
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/2376
dc.identifier.uri	http://ltrc.iiit.ac.in/icon2015/icon2015_proceedings/PDF/53_rp.pdf
dc.description.abstract	Automatic selection of morphological paradigm for a noun lemma is necessary to automate the task of building morphological analyzer for nouns with minimal human interventions. Morphological paradigms can be of two types namely surface level morphological paradigms and lexical level morphological paradigms. In this paper we present a method to automatically select lexical level morphological paradigms for Konkani nouns. Using the proposed concept of paradigm differentiating measure to generate a training data set we found that logistic regression can be used to automatically select lexical level morphological paradigms with an F-Score of 0.957.
dc.publisher	IIITM-Kerala, Trivandrum	en_US
dc.subject	Computer Science and Technology	en_US
dc.title	Logistic regression for automatic lexical level morphological paradigm selection for Konkani nouns	en_US
dc.type	Conference article	en_US