# The Task of Post-Editing Machine Translation for the Low-Resource Language
## 1 Introduction
### Description of Machine Translation Challenges for the Kazakh Language and Problem Statement  
Machine translation for the Kazakh language encounters several unique challenges related to the language's characteristics, its morphological complexity, and its status as a low-resource language, as depicted in Figure 1:  
* Morphological complexity. Kazakh is an agglutinative language, which means that words can have multiple forms due to prefixes and suffixes. This complexity poses challenges for machine translation, as it is necessary to correctly interpret and translate each morpheme. Translation between Kazakh and languages with different morpho  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline  
Figure 1: Problems of machine translation for the Kazakh language.  
logical structures, such as English, can lead to a lack or excess of information in the target text [25].
* Low-resource language: The Kazakh language is considered low-resource because there are currently much fewer training data available for Kazakh compared to languages such as English or Russian. This complexity makes the training of highly effective machine translation models more difficult. Additionally, the absence of specialized corpora for specific domains or professions further limits the translation quality in these areas [26].
* Transition to Latin script: It is also worth noting that the plans to transition the Kazakh language from Cyrillic to Latin script add an additional layer of complexity. Machine translation systems need to be adapted to both writing systems, further complicating the translation process.
* Cultural and idiomatic differences: Idioms, proverbs, and other culturally specific expressions in the Kazakh language might lack direct equivalents in other languages, requiring careful adaptation during translation [27].
* Syntactic differences: Syntactic differences, such as word order and sentence structure, in the Kazakh language can vary from other language groups like Germanic, Slavic, and others. This creates additional challenges for machine translation, as translation models need to account for these differences to generate grammatically correct and comprehensible sentences [28].  
Given these challenges, there is a need for the development of a post-editing system for the Kazakh language.  
Problem statement: The aim is to develop a machine translation post-editing system for a low-resource language, using the Kazakh language as an example, which takes into account the specific linguistic characteristics and ensures a high translation quality. Based on the analysis of existing research, the following research tasks have been identified:  
* Data collection, processing, and structuring; for this, it is necessary to collect and structure large bodies of bilingual texts, as well as develop tools for automatic preprocessing and text annotation;
* Development of a post-editing approach for English-Kazakh and Russian-Kazakh machine translation based on machine learning;
* Quality assessment, conducting an objective assessment of the quality of translation using modern methods and tools.  
To implement these tasks, the methodology and stages of developing a machine translation post-editing system for the Kazakh language will be presented further.