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Role of Lexical and Syntactic Fixedness in Acquisition of Hindi MWEs

  • Rakhi JoonEmail author
  • Archana Singhal
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1046)

Abstract

Multi Word Expressions (MWEs) are one of the most widely used term in linguistics which mainly deals with combination of words rather than single word. In Hindi language, MWEs have become significant and popular for text processing and research related activities. The nicety of any term in linguistics is justified by using statistical measures. Many of these statistical measures are based on frequency of occurrence of a particular word pattern in a corpus. Syntactic fixedness is one of the important statistical measure, which can be used for measuring the degree of lexical and syntactic restrictiveness in the MWEs extraction and analysis process. This paper mainly focuses on evaluating the degree of lexical and syntactic fixedness and justifying their role for Hindi MWEs. The corpus used for experimental purpose is collected from the famous Hindi novel “Godaan”. Total 36 text files of the novel are used for the evaluation purpose. The degree of lexical and syntactic fixedness are measured for many classes of 2-grams Hindi MWEs and results are analyzed for accuracy.

Keywords

Linguistics Hindi multiwords Lexical fixedness syntactic fixedness Statistical measures NLP 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of DelhiDelhiIndia

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