Inferring of the Morphological Chunk Transfer Rules on the Base of Complete Set of Kazakh Endings

Tukeyev, Ualsher; Sundetova, Aida; Abduali, Balzhan; Akhmadiyeva, Zhadyra; Zhanbussunov, Nurbolat

doi:10.1007/978-3-319-45246-3_54

Cited by 9 publications

(2 citation statements)

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“…The second part will be focused on Kazakh-Russian language pair. At the end of the first year, the following results were achieved: the technology of hybrid automatonneural machine translation of the Kazakh language based on the complete system of Kazakh language endings [5]; the preprocessor of morphological segmentation in Kazakh-English neural machine translation system; the postprocessor of morphological desegmentation in Kazakh-English neural machine translation system. Because of agglutinative nature words in Kazakh are formed by adding affixes.…”

Section: Current Results and Future Plansmentioning

confidence: 99%

Neural machine translation system for the Kazakh language based on synthetic corpora

2019

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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.

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Section: Current Results and Future Plansmentioning

confidence: 99%

Neural machine translation system for the Kazakh language based on synthetic corpora

2019

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“…So, for parts of speech with nominal bases, the number of endings is 1213 (all plural variants are taken into account), and the number of endings of parts of speech with oral bases is: verbs -432, participles -1582, adverb -48, moods -240, voices -80. In total -3565 (Tukeyev, 2015;Tukeyev et al, 2016). The morphological segmentation algorithm of the Kazakh language words includes two stages:…”

Section: Segmentation Of the Source Text Of The Kazakh Languagementioning

confidence: 99%