1. A comparative study based on natural language processing techniques
Authors : Koyel Datta Gupta
Pages : 436 - 438
Keywords : natural language processingmorphemecorpusambiguity Abstract :
The concept of natural language processing (NLP) is based on artificial intelligence and linguistics. The aim of NLP lies is to relate natural language of human beings and machine learning. There are diverse challenges in the elucidation of natural language through artificial intelligence. The study of natural language processing has been carried on in the areas like generation and interpretation of natural language, morphological partitioning and machine translation, tagging of speech, sentimental analysis of speech, and optical character identification. Recently unsupervised learning algorithms are being applied profusely in NLP. These unsupervised analyse information which is not physically annotated as well as fusion of non-annotated & annotated data. With the availability of large amount of non annotated information, it is essential to explore unsupervised algorithms which otherwise produces less precise results. The objective of this paper is to present a comparative study of different natural language processing techniques.
Citing this Journal Article :Koyel Datta Gupta, "A comparative study based on natural language processing techniques", Volume 6 Issue 4 - March 2016, 436 - 438
Click here to Submit Copyright Takedown Notice for this article.