Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
THE SOFTWARE SYSTEM FOR THE STUDY THE MORPHOLOGY OF THE KAZAKH LANGUAGE. / Barakhnin, Vladimir B.; Fedotov, Anatoliy M.; Bakiyeva, Aigerim M. и др.
ICPE 2017: INTERNATIONAL CONFERENCE ON PSYCHOLOGY AND EDUCATION. ред. / SB Malykh; EV Nikulchev. FUTURE ACAD, 2017. стр. 18-27 (European Proceedings of Social and Behavioural Sciences; Том 33).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › Рецензирование
}
TY - GEN
T1 - THE SOFTWARE SYSTEM FOR THE STUDY THE MORPHOLOGY OF THE KAZAKH LANGUAGE
AU - Barakhnin, Vladimir B.
AU - Fedotov, Anatoliy M.
AU - Bakiyeva, Aigerim M.
AU - Bakiyev, Murat N.
AU - Tazhibayeva, Saule Zh.
AU - Batura, Tatiana V.
AU - Kozhemyakina, Olga Yu.
AU - Tussupov, Dzhamalbek A.
AU - Sambetbaiyeva, Madina A.
AU - Lukpanova, Lyazzat Kh.
PY - 2017
Y1 - 2017
N2 - In the system of language teaching, one of the most important aspects is the study of the grammatical categories of lexical items. This process applies to the teaching of foreign languages, and to the learning the native language, both on basic and deeper level. The article describes the software system for studying the morphology of the Kazakh language. In the research process, 14 flexional classes were allocated for nouns and adjectives, 17 - for verbs. The dictionaries, including more than 5500 affixes and their combinations (taking into account the repetitions of combinations for different grammatical forms) were created. The quantitative volume of created dictionaries is sufficient to analyze the texts of any thematic affiliation. The system is supplemented by a dictionary of exceptions, including 18 nouns and 352 verbs, in which the basis is changing when the word is changing. During testing on words belonging to different parts of speech, there were no errors, that allows to judge about the correctness of the proposed algorithms. The system is equipped with a user-friendly web interface, allowing the learner to test his skills of word formation and of stemming of words of the Kazakh language. (c) 2017 Published by Future Academy www.FutureAcademy.org.UK.
AB - In the system of language teaching, one of the most important aspects is the study of the grammatical categories of lexical items. This process applies to the teaching of foreign languages, and to the learning the native language, both on basic and deeper level. The article describes the software system for studying the morphology of the Kazakh language. In the research process, 14 flexional classes were allocated for nouns and adjectives, 17 - for verbs. The dictionaries, including more than 5500 affixes and their combinations (taking into account the repetitions of combinations for different grammatical forms) were created. The quantitative volume of created dictionaries is sufficient to analyze the texts of any thematic affiliation. The system is supplemented by a dictionary of exceptions, including 18 nouns and 352 verbs, in which the basis is changing when the word is changing. During testing on words belonging to different parts of speech, there were no errors, that allows to judge about the correctness of the proposed algorithms. The system is equipped with a user-friendly web interface, allowing the learner to test his skills of word formation and of stemming of words of the Kazakh language. (c) 2017 Published by Future Academy www.FutureAcademy.org.UK.
KW - the Kazakh language
KW - the study of morphology
KW - word formation
KW - stemming
KW - POETRY
KW - ALGORITHM
KW - METER
KW - TEXTS
U2 - 10.15405/epsbs.2017.12.3
DO - 10.15405/epsbs.2017.12.3
M3 - Conference contribution
T3 - European Proceedings of Social and Behavioural Sciences
SP - 18
EP - 27
BT - ICPE 2017: INTERNATIONAL CONFERENCE ON PSYCHOLOGY AND EDUCATION
A2 - Malykh, SB
A2 - Nikulchev, EV
PB - FUTURE ACAD
T2 - International Conference on Psychology and Education (ICPE)
Y2 - 8 June 2017 through 9 June 2017
ER -
ID: 18874311