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Using Particle Swarm Optimization to Accurately Identify Syntactic Phrases in Free Text Cover

Using Particle Swarm Optimization to Accurately Identify Syntactic Phrases in Free Text

Journal of Artificial Intelligence and Soft Computing Research
Volume 8 (2018): Issue 1 (January 2018)
By: George Tambouratzis  
Open Access
|Nov 2017
Authors

Authors

George Tambouratzis

Dept. of Machine Translation, Institute for Language and Speech Processing / Athena Research Centre, Greece
DOI: https://doi.org/10.1515/jaiscr-2018-0004
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Language: English
Page range: 63 - 77
Submitted on: Jan 17, 2017
Accepted on: Mar 29, 2017
Published on: Nov 1, 2017
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
parsing of natural language,
machine translation,
syntactically-derived phrasing,
particle swarm optimization (PSO),
parameter optimization,
Adaptive PSO (AdPSO)
Related subjects:
Computer sciences,
Artificial intelligence,
Databases and data mining

© 2017 George Tambouratzis, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 8 (2018): Issue 1 (January 2018)
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