LINGUISTIC ANALYSIS FOR THE BELARUSIAN CORPUS WITH THE APPLICATION OF NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING TECHNIQUES
The article focuses on the problems existing in text-to-speech synthesis. Different morphological, lexical and syntactical elements were localized with the help of the Belarusian unit of NooJ program. Those types of errors, which occur in Belarusian texts, were analyzed and corrected. Language model...
Saved in:
Main Authors: | Yu. S. Hetsevich, I. V. Reentovich |
---|---|
Format: | Article |
Language: | Russian |
Published: |
National Academy of Sciences of Belarus, the United Institute of Informatics Problems
2017-12-01
|
Series: | Informatika |
Online Access: | https://inf.grid.by/jour/article/view/241 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
ALGORITHMS FOR IDENTIFICATION OF CUES WITH AUTHORS’ TEXT INSERTIONS IN BELARUSIAN ELECTRONIC BOOKS
by: Y. S. Hetsevich, et al.
Published: (2016-10-01) -
AUTOMATED ALPHABETIC SUBJECT INDEX GENERATION FOR UNIVERSAL DECIMAL CLASSIFICATION IN BELARUSIAN
by: S. I. Lysy, et al.
Published: (2018-06-01) -
Computational linguistics and natural language processing techniques for semantic field extraction in Arabic online news
by: Maulana Ihsan Ahmad, et al.
Published: (2024-09-01) -
Natural Language Processing (NLP): Identifying Linguistic Gender Bias in Electronic Medical Records (EMRs)
by: Site Xu MPH, et al.
Published: (2025-01-01) -
COMPLEX RECONSTRUCTION OF THE CONTINUOUS CASTING MACHINES OF BELARUSIAN STEEL WORKS
by: A. A. Sotnikov, et al.
Published: (2012-09-01)