The lack of big parallel data is present for the Kazakh language. This problem seriously impairs the quality of machine translation from and into Kazakh. This article considers the neural machine translation of the Kazakh language on the basis of synthetic corpora. The Kazakh language belongs to the Turkic languages, which are characterised by rich morphology. Neural machine translation of natural languages requires large training data. The article will show the model for the creation of synthetic corpora, namely the generation of sentences based on complete suffixes for the Kazakh language. The novelty of this approach of the synthetic corpora generation for the Kazakh language is the generation of sentences on the basis of the complete system of suffixes of the Kazakh language. By using generated synthetic corpora we are improving the translation quality in neural machine translation of Kazakh-English and Kazakh-Russian pairs.
This article presents the theoretical and practical part of using the action research in teaching English for students of non-linguistic specialties in higher schools. Action research is a new process of research in Kazakhstan education that presents conducting of research by action researchers who share their findings with others in teaching. Our daily life connects with action research in order to investigate, make analysis and evaluate our work. The term action research has become particularly popular in education, especially in teaching foreign languages. Different approaches can be applied to improve the process of learning in it. Action Research is a great opportunity for creative teachers to develop different skills of students. The main purpose of this paper is to study basic concepts of action research, develop a model of action research process in teaching English, and determine the effectiveness and advantages of action research in teaching English for students of non-language specialties.
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