Solving Semantic Problem of Phrases in NLP Using Universal Networking Language (UNL)

Abstract

 This paper largely deals with the Semantic problem and generation of semantic relations, which are difficult problems in the field of natural language processing. In this work we looked at it through the knowledge based perspective and language phenomena in terms of rules and dictionary features. The work is more focused on solving the problems of Bangla sentences, thereby improving the accuracy of analysis process. The problem needs, particularly, a knowledge intensive solution. We have used insights from linguistics, towards solving this problem. Also, the usefulness of automatic extraction of features for words in the dictionary becomes evident through the work.

Authors and Affiliations

M. Mridha, Aloke Saha, Jugal Das

Keywords

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  • EP ID EP94078
  • DOI 10.14569/SpecialIssue.2014.040103
  • Views 125
  • Downloads 0

How To Cite

M. Mridha, Aloke Saha, Jugal Das (2014).  Solving Semantic Problem of Phrases in NLP Using Universal Networking Language (UNL). International Journal of Advanced Computer Science & Applications, 4(1), 17-21. https://europub.co.uk/articles/-A-94078