A Brief Concept of Natural Language Processing: The Chomsky Hierarchy and Hidden Markov Models

Authors

  • Shin-Jye Lee Institute of Management of Technology, National Chiao Tung University, Taiwan

DOI:

https://doi.org/10.26821/IJSHRE.9.6.2021.9614

Keywords:

Natural Language Processing

Abstract

Nowadays Natural Language Processing (NLP) has
been popularly applied in the real world, and a lot of
NLP applications can be seen in our daily life.
Basically, NLP plays an important role in promoting
an advanced development to Artificial Intelligence,
and the primary methods contributing a highperformance NLP comprise Chomsky Hierarchy and
Hidden Markov Models. Furthermore, these methods
become an increasing issue to carry out a more
advanced application of NLP.

References

Daniel Jurafsky and James Martin, Speech and

Language Processing, Prentice Hall, 2000.

Xuedong Huang, Alex Acero and Hsiao-Wuen

Hon, Spoken Language Processing, Prentice Hall,

Christopher Manning and Hinrich Schutze,

Foundations of Statistical Natural Language

Processing, MIT Press, 1999.

http://www.cse.unsw.edu.au/~billw/nlpdict.html

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Published

2021-06-29

How to Cite

Shin-Jye Lee. (2021). A Brief Concept of Natural Language Processing: The Chomsky Hierarchy and Hidden Markov Models. iJournals:International Journal of Software & Hardware Research in Engineering ISSN:2347-4890, 9(6). https://doi.org/10.26821/IJSHRE.9.6.2021.9614

Issue

Vol. 9 No. 6 (2021): IJSHRE Volume 9 Issue 6 June 2021

Section

Articles