Kazakh Text Summarization using Fuzzy logic

Authors

  • Altanbek Zulkhazhav L.N.Gumilyov Eurasian National University, Faculty of Information Technologies
  • Zhanibek Kozhirbayev Nazarbayev University, National Laboratory Astana
  • Zhandos Yessenbayevy Nazarbayev University, National Laboratory Astana
  • Altynbek Sharipbay L.N.Gumilyov Eurasian National University, Faculty of Information Technologies

DOI:

https://doi.org/10.13053/cys-23-3-3239

Keywords:

Extractive text summarization, natural language processing, fuzzy logic

Abstract

In this paper we present an extractive summarization method for the Kazakh language based on fuzzy logic. We aimed to extract and concatenate important sentences from the primary text to obtain its shorter form. With the rapid growth of information on the Internet thereis a demand on its efficient and cost-effective summarization. Thereforethe creation of automatic summarization methods is considered as a very important task of natural language processing. Our approach is based on the preprocessing of the sentences by applying morphological analysis and pronoun resolution techniques in order to avoid their early rejections. Afterwards, we determine the features of the processed sentences need for exploiting fuzzy logic methods. Additionally, since there is no available data for the given task, we collected and manually annotated our own dataset from the different Internet resources in the Kazakh language for the experimentation. We also applied our method on CNN/Daily Maildataset. The ROUGE-N indicators were calculated to assess the quality of the proposed method. The ROUGE-L(f-score) score by the proposed method with pronoun resolution for the former dataset is 0.40, whereas for the latter one it is 0.38.

Downloads

Published

2019-09-25

Issue

Vol. 23 No. 3 (2019): Thematic issue: Computational Linguistics (Guest Editor A. Gelbukh)

Section

Articles of the Thematic Issue

License 

Hereby I transfer exclusively to the Journal "Computación y 
Sistemas", published by the Computing Research Center (CIC-IPN),
the Copyright of the aforementioned paper. I also accept that these 
rights will not be transferred to any other publication, in any other 
format, language or other existing means of developing.
I certify that the paper has not been previously disclosed or simultaneo
usly submitted to any other publication, and that it does not contain 
material whose publication would violate the Copyright or other 
proprietary rights of any person, company or institution. I certify that 
I have the permission from the institution or company where I work or 
study to publish this work.
The representative author accepts the responsibility for the publication
of this paper on behalf of each and every one of the authors. 
This transfer is subject to the following conditions:
  • The authors retain all ownership rights (such as patent rights) of this work, except for the publishing rights transferred to the CIC, through this document.
  • Authors retain the right to publish the work in whole or in part in any book they are the authors or publishers. They can also make use of this work in conferences, courses, personal web pages, and so on.
  • Authors may include working as part of his thesis, for non-profit distribution only.