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Research Article | Open Access |

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

Author 1: M. F Mridha Author 2: Aloke Kumar Saha Author 3: Jugal Krishna Das
International Journal of Advanced Computer Science and Applications (IJACSA) · Special Issue on Natural Language Processing 2014 · Published 2014

DOI: 10.14569/SpecialIssue.2014.040103

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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.

Keywords

Syntax and Semantic analysis Bangla Root Word Morphology and UNL NLP

How to Cite this Article

Mridha, M. F., Saha, A. K., & Das, J. K. (2014). Solving Semantic Problem of Phrases in NLP Using Universal Networking Language (UNL). International Journal of Advanced Computer Science and Applications, 4(1). https://doi.org/10.14569/SpecialIssue.2014.040103

Mridha, M. F, et al.. "Solving Semantic Problem of Phrases in NLP Using Universal Networking Language (UNL)." International Journal of Advanced Computer Science and Applications, vol. 4, no. 1, 2014, https://doi.org/10.14569/SpecialIssue.2014.040103.

@article{Mridha2014,
  title     = {Solving Semantic Problem of Phrases in NLP Using Universal Networking Language (UNL)},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {4},
  number    = {1},
  year      = {2014},
  publisher = {The Science and Information Organization},
  note      = {Special Issue on Natural Language Processing 2014},
  author    = {M. F Mridha and Aloke Kumar Saha and Jugal Krishna Das},
  doi       = {10.14569/SpecialIssue.2014.040103},
  url       = {https://doi.org/10.14569/SpecialIssue.2014.040103}
}

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