Purpose of this work is not only theoretical and methodological work on studying effective platforms for teaching, with emphasis on Kazakh language, but development of methods, algorithms and tools for creating effective systems for teaching Kazakh language, using artificial intelligence systems, including machine translation, machine training and speech recognition.
To achieve set objective, we should solve solve main tasks:
-Creation of voluminous datasets for user training and artificial intelligence tasks – machine translation, speech recognition and deep learning. Such data sets will be texts, books, documents, speech fragments marked up corpora and parallel texts and sentences sets– i.e., texts with available professional translations.
-Development of intelligent “alignment” algorithm for extraction of sentences parallel pairs from parallel texts, which will allow automatically build parallel sentences corpora from parallel texts arrays.
-Development of automated morphological analyzer for processing, analyzing texts, and all primary work in all applications and services is necessary.
-Development and integration of services and modules for teaching Kazakh language with machine translation and speech recognition systems.
-Creation of Internet services and applications for obtained tools practical use and algorithms in real life.
In general, the entire range of services, algorithms and data sets with integration capabilities will represent an ecosystem of training, translation and professional work with the state Kazakh language.
The capabilities of the machine translation system, the analysis of the current state of the Kazakh language will be developed and applied, frequency dictionaries and sections will be created, and regular phrases and structures of the language for various segments and areas will be searched.
As a result, new effective means of teaching and working with the state language of the broad strata of the population of Kazakhstan will be obtained both in everyday life and in professional activity.