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pro vyhledávání: '"Gulshat Kessikbayeva"'
Autor:
Ilyas Cicekli, Gulshat Kessikbayeva
Publikováno v:
NLPIR
In this paper a hybrid example based machine translation system between Kazakh and Turkish languages is presented. The system mainly based on example based machine translation method which is supported by a statistical language model for the target l
Publikováno v:
Heuristics for Optimization and Learning ISBN: 9783030589295
Classification is an important field of research due to the increase of unstructured text, especially in form of customer inquiries. The problem has two phases such as generally identifying a customer inquiry and automatically assigning an order of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03c6cc7251095af337b1f18ce3d3f4c2
https://doi.org/10.1007/978-3-030-58930-1_14
https://doi.org/10.1007/978-3-030-58930-1_14
Publikováno v:
2019 15th International Conference on Electronics, Computer and Computation (ICECCO).
Natural Language models are a crucial tool in computational linguistics. They are specially difficult to build in agglutinative languages, which require attention since the words are formed by attaching sequences of different morphemes, where each mo
Autor:
Ilyas Cicekli, Gulshat Kessikbayeva
Publikováno v:
Linguistics and Literature Studies. 4:96-104
Morphological analysis is a very critical issue especially for natural language processing related tasks on agglutinative languages. This study gives the implementation details of a rule-based morphological analyzer of Kazakh language which is an agg
Autor:
Ilyas Cicekli, Gulshat Kessikbayeva
Publikováno v:
SIGMORPHON/SIGFSM
Having a morphological analyzer is a very critical issue especially for NLP related tasks on agglutinative languages. This paper presents a detailed computational analysis of Kazakh language which is an agglutinative language. With a detailed analysi