Universal Programs for Stemming, Segmentation, Morphological Analysis of Turkic Words

Author:

Tukeyev UalsherORCID,Karibayeva AidanaORCID,Turganbayeva AliyaORCID,Amirova DinaORCID

Publisher

Springer International Publishing

Reference22 articles.

1. Tukeyev, U.: Automaton models of the morphology analysis and the completeness of the endings of the Kazakh language. In: Proceedings of the International Conference “Turkic languages processing” TURKLANG-2015, pp. 91–100. Kazan, Tatarstan, Russia, 17–19 Sep 2015 (in Russian)

2. Porter Stemming for Russian language. https://eigenein.xyz/snowball/Russian_stemming_algorithm (2015)

3. Segalovich, I.: A fast morphological algorithm with unknown word guessing induced by a dictionary for a web search. In: Proceedings of the International Conference on Machine Learning; Models, Technologies and Applications, MLMTA 2003, pp. 273–280. Las Vegas, Nevada, USA (2003)

4. Willett, P.: The Porter stemming algorithm: then and now. Program Electron. Library Inf. Syst. B 40(3), 219–223 (2006)

5. Yeong, Y., Tan, T., Mohammad, S.: Using dictionary and lemmatizer to improve low resource English-Malay statistical machine translation system. Procedia Comput. Sci. 81, 243–249 (2016)

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