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Swarm Algorithms for NLP - The Case of Limited Training Data Cover

Swarm Algorithms for NLP - The Case of Limited Training Data

Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 3 (July 2019)
By: George Tambouratzis and  Marina Vassiliou  
Open Access
|May 2019

Authors

George Tambouratzis

giorg_t@ilsp.gr

Institute of Language & Speech Processing, Athens, Greece

Marina Vassiliou

Institute of Language & Speech Processing, Athens, Greece
DOI: https://doi.org/10.2478/jaiscr-2019-0005
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Language: English
Page range: 219 - 234
Submitted on: Dec 7, 2018
Accepted on: Jan 30, 2019
Published on: May 9, 2019
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
particle swarm optimisation,
natural language processing,
text phrasing,
machine translation
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2019 George Tambouratzis, Marina Vassiliou, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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