# The Task of Post-Editing Machine Translation for the Low-Resource Language
## 1 Introduction  
The modern world and our future are heavily reliant on applied intelligent systems as new technologies continue to advance each day. One of the tasks of intelligent systems is machine translation from one natural language to another. Machine translation (MT) enables people to communicate regardless of language differences, eliminating language barriers and opening up new avenues for communication. Machine translation is a ground-breaking technology, a significant step in human development [1]. This type of translation can be helpful when you need to quickly understand what your interlocutor has written or said in a letter. Of course, the quality of such translation is very low (for some language groups), but in most cases, the basic meaning can be understood. Machine translation (MT) has become a crucial tool in the fields of linguistics and natural language processing (NLP) in recent decades [2, 3]. It facilitates the translation of textual data between different languages, easing communication and the dissemination of information in a globalized world. However, despite significant achievements in machine translation for languages with abundant resources, such as English or Chinese, many low-resource languages remain inadequately represented. Kazakh, which belongs to the Turkic language family, is one such low-resource language [4]. Currently, there are limited linguistic tools and resources available for the Kazakh language, making it challenging to create high-quality machine translation systems [5].  
As a result of machine translation (MT), there are always certain shortcomings that can be addressed through post-editing. Post-editing involves human processing of the text after machine translation [6]. Today, many linguistic providers are developing methods for training editors and post-editing techniques. The first studies on post-editing and its related implementations emerged in the 1980s. To develop appropriate guidelines and training, members of the American Machine Translation Association and the European Association for Machine Translation established a Special Interest Group on Post-Editing in 1999 [7].  
Post-editing of machine translation (PEMT) is the process of correcting errors made by machine translation systems to enhance the quality of the final translation ([PERSON], 2010). This approach is often used to improve translations from English into other languages, primarily for languages with substantial data volume. However, the question of its effectiveness for low-resource languages like Kazakh remains open. Kazakh, being an agglutinative language, presents specific challenges for machine translation. Post-editing of machine translation (PEMT) for the Kazakh language faces several unique challenges related to the language's morphology, syntax, and lexicon.  
In this article, we explore the application of post-editing methods to Kazakh language machine translation. The aim of this research is to determine whether PEMT methods can enhance the quality of machine translation for the Kazakh language, as well as identify the main problems and limitations researchers encounter when working with low-resource languages.