Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 3 (July 2019)
Open Access
Swarm Algorithms for NLP - The Case of Limited Training Data
George Tambouratzis
George Tambouratzis
Institute of Language & Speech Processing
Athens, Greece
Search for this author on
Sciendo
|
Google Scholar
Tambouratzis, George
and
Marina Vassiliou
Marina Vassiliou
Institute of Language & Speech Processing
Athens, Greece
Search for this author on
Sciendo
|
Google Scholar
Vassiliou, Marina
May 09, 2019
Journal of Artificial Intelligence and Soft Computing Research
Volume 9 (2019): Issue 3 (July 2019)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
May 09, 2019
Page range:
219 - 234
Received:
Dec 07, 2018
Accepted:
Jan 30, 2019
DOI:
https://doi.org/10.2478/jaiscr-2019-0005
Keywords
particle swarm optimisation
,
natural language processing
,
text phrasing
,
machine translation
© 2019 George Tambouratzis et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.
