Normalization of Kazakh Texts

Assina Abdussaitova, Alina Amangeldiyeva


Abstract
Kazakh language, like other agglutinative languages, has specific difficulties on both recognition of wrong words and generation the corrections for misspelt words. The main goal of this work is to develop a better algorithm for the normalization of Kazakh texts based on traditional and Machine Learning methods, as well as the new approach which is also considered in this paper. The procedure of election among methods of normalization has been conducted in a manner of comparative analysis. The results of the comparative analysis turned up successful and are shown in details.
Anthology ID:
R19-2001
Volume:
Proceedings of the Student Research Workshop Associated with RANLP 2019
Month:
September
Year:
2019
Address:
Varna, Bulgaria
Venue:
RANLP
SIG:
Publisher:
INCOMA Ltd.
Note:
Pages:
1–6
Language:
URL:
https://aclanthology.org/R19-2001
DOI:
10.26615/issn.2603-2821.2019_001
Bibkey:
Cite (ACL):
Assina Abdussaitova and Alina Amangeldiyeva. 2019. Normalization of Kazakh Texts. In Proceedings of the Student Research Workshop Associated with RANLP 2019, pages 1–6, Varna, Bulgaria. INCOMA Ltd..
Cite (Informal):
Normalization of Kazakh Texts (Abdussaitova & Amangeldiyeva, RANLP 2019)
Copy Citation:
PDF:
https://aclanthology.org/R19-2001.pdf