Development of a model and software solution for the problem of determining unknown words in post-editing machine translation

Авторы:

D.R. Rakhimova (Соавтор)

N.M. Pazylkhan (Соавтор)

A.A. Kulzhanova (Соавтор)

Zh.G. Alen (Соавтор)

Издательство:

КН МНВО РК

Дата издания

28.02.2021

Область исследования

Естественные науки

Тип исследования

Фундаментальное

Аннотация (краткое описание)

Machine translation is the technology of consecutive translation of texts from one language to another by a computer program. As a result of machine translation, there are always certain disadvantages that can be solved by post-editing. Post-editing-human processing of text after machine translation. Today, many language providers are actively developing this field, developing methods of training editors and post-editing methods. The article provides an overview of existing methods for finding unknown words in post-editing machine translation. In this paper, we consider the problem of determining unknown words in post-editing machine translation for the Kazakh language. The analysis of existing methods for finding unknown words in post-editing machine translation is carried out. A model for the development of unknown words in post-editing machine translation for the English-Kazakh and Russian-Kazakh languages, practical results and software implementation are presented.

Соответствие целям устойчивого развития (ЦУР)

URI

https://vestnik.satbayev.university/index.php/journal/article/view/510/352

DOI

https://doi.org/10.51301/vest.su.2021.v143.i1.08

Тип публикаций

Статья

Данный документ располагается в коллекциях

Научные издания SU

Engineering Journal of Satbayev University

Файлы документа

Development of a model and software solution for the problem of determining unknown words in post-editing machine translation.pdf