Please use this identifier to cite or link to this item:
Title: The aligned Kazakh-Russian parallel corpus focused on the criminal theme
Authors: Khairova, N. F.
Kolesnyk, Anastasiia
Mamyrbayev, Orken
Mukhsina, Kuralay
Keywords: criminal subject; news websites; POS-tagging; Kazakh-Russian parallel corpus; alignment; lexical compliances
Issue Date: 2019
Citation: The aligned Kazakh-Russian parallel corpus focused on the criminal theme [Electronic resource] / N. Khairova [et al.] // Computational linguistics and intelligent systems (COLINS 2019) : proc. of the 3d Intern. Conf., April 18-19, 2019. Vol. 1: Main Conference / ed.: V. Lytvyn [et al.]. – Electron. text data. – Lviv, 2019. – P. 116-125. – URL:, free (accessed 14.12.2020).
Abstract: Nowadays, the development of high-quality parallel aligned text corpora is one of the most relevant and advanced directions of modern linguistics. Special emphasis is placed in creating parallel multilingual corpora for low resourced languages, such as the Kazakh language. In the study, we explored texts from four Kazakh bilingual news websites and created the parallel Kazakh-Russian corpus of texts that focus on the criminal subject at their base. In order to align the corpus, we used lexical compliances set and the values of POS-tagging of both languages. 60% of our corpus sentences are automatically aligned correctly. Finally, we analyzed the factors affecting the percentage of errors.
Appears in Collections:Кафедра "Інтелектуальні комп'ютерні системи"

Files in This Item:
File Description SizeFormat 
Khairova_The_aligned_2019.pdf490,42 kBAdobe PDFThumbnail
Show full item record  Google Scholar

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.