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Shallow morphology based complex predicates extraction in Oriya
Author(s) -
Rakesh Chandra Balabantaray,
Manoj Kumar Jena,
S. Mohanty
Publication year - 2011
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/1980-2663
Subject(s) - computer science , extraction (chemistry) , natural language processing , chromatography , chemistry
This paper presents the extraction of Complex Predicates (CPs) in Oriya based on shallow morphology and available seed lists of verbs. Generally Oriya language is a free word order language. Free word order languages have relatively unrestricted local word group or phrase structures that make the problem of complex predicates extraction quite challenging. The complex predicates are generally the special multi word expression which is extracted with a special emphasis on compound verbs (Verb + Verb) and conjunct verbs (Noun /Adjective +Verb)/ (Verb + Noun /Adjective). The lexicalization of compound and conjunct verbs is done based on the information of shallow morphology. Lexical scopes of compound and conjunct verbs in consecutive sequence of Complex Predicates (CPs) have been identified. Aim of the current work is, to investigate the possibility of improving the accuracy of complex predicates extraction making it sensitive to verb sub categorization and to evaluate the recall, precision and Fscore on different operational environment.

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