A Brief Concept of Speech and Language Processing: Parsing, Anaphora, and Fourier Transform

Authors

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

DOI:

https://doi.org/10.26821/IJSHRE.9.6.2021.9615

Keywords:

Speech and Language Processing

Abstract

Due to the quick progressing of computational
technology, there are a variety of Natural Language
Processing (NLP) technologies applied in this decade,
and these technologies surround our daily life in the
world. Basically, Speech and Language Processing
(SLP) plays an important role in the field of Natural
Language Processing, and it promotes an advanced
development to NLP. The primary methods
contributing SLP comprise Parsing, Anaphora, and
Fourier Transform, and these methods become an
increasing issue to carry out a more advanced
application of SLP

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 Speech and Language Processing: Parsing, Anaphora, and Fourier Transform. iJournals:International Journal of Software & Hardware Research in Engineering ISSN:2347-4890, 9(6). https://doi.org/10.26821/IJSHRE.9.6.2021.9615

Issue

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

Section

Articles