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.

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