Master's Degree in Digital Kazakh Language 24 months Postgraduate Programme By Al-Farabi Kazakh National University |TopUniversities
Subject Ranking

# 201-250QS Subject Rankings

Programme Duration

24 monthsProgramme duration

Main Subject Area

LinguisticsMain Subject Area

Programme overview

Main Subject

Linguistics

Degree

MA

Study Level

Masters

Study Mode

On Campus

Master's Degree in Digital Kazakh Language
Training of linguists proficient in methods in the field of analysis and processing of Kazakh-language information, text data in the digital space.
RL1 To ensure the required level of academic competencies of students, conduct scientific research, to socializе of students; RL2 To use a foreign language in research and professional activities. RL3 To еxplore types of language models using computational linguistics for natural language analysis and processing. RL4 To evaluate the types, features, and directions in the development of computer lexicography and digital dictionaries. RL5 To apply the theoretical foundations of machine learning and artificial intelligence methods in natural language processing. RL6 To explore effective ways to select and optimize speech recognition and synthesis algorithms. RL7 To analyze the quality of language data, corpus texts, and systems used for automatic natural language processing RL8 To conduct research on the main areas of digital philology and ways of its development. RL9 To develop practical programming skills for working with language data. RL10 To create methods for developing digital products and language support projects. RL11 To study automatic text analysis technologies.

Programme overview

Main Subject

Linguistics

Degree

MA

Study Level

Masters

Study Mode

On Campus

Master's Degree in Digital Kazakh Language
Training of linguists proficient in methods in the field of analysis and processing of Kazakh-language information, text data in the digital space.
RL1 To ensure the required level of academic competencies of students, conduct scientific research, to socializе of students; RL2 To use a foreign language in research and professional activities. RL3 To еxplore types of language models using computational linguistics for natural language analysis and processing. RL4 To evaluate the types, features, and directions in the development of computer lexicography and digital dictionaries. RL5 To apply the theoretical foundations of machine learning and artificial intelligence methods in natural language processing. RL6 To explore effective ways to select and optimize speech recognition and synthesis algorithms. RL7 To analyze the quality of language data, corpus texts, and systems used for automatic natural language processing RL8 To conduct research on the main areas of digital philology and ways of its development. RL9 To develop practical programming skills for working with language data. RL10 To create methods for developing digital products and language support projects. RL11 To study automatic text analysis technologies.

Admission Requirements

6+
87+

2 Years
Sep

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