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Automatic Post-editing of Kazakh Sentences Machine Translated from English

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Advanced Topics in Intelligent Information and Database Systems (ACIIDS 2017)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 710))

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Abstract

Automatic post-editing of sentence from one language to another language is closely connected with a machine translation. Machine translation is a modern tool that helps to speed up the translation process and to reduce its cost. But still it is a problem to get a correct translation. Therefore now it is active investigates automatic post-editing improved quality of translation. In this paper is proposed method of automatic post-editing based on two stage procedure: on the first is defined incorrect words in a text by using translation memory (TM) technology, on the second stage is defined what alternative translation word is more better for defined incorrect words on first stage by using of maximum entropy model.

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References

  1. Espla, M., Sanchez-Martinez, F., Forcada, M.L.: Using word alignments to assist computer-aided translation users by marking which target-side words to change or keep unedited. In: Proceedings of the 15th Annual Conference of the European Association for Machine Translation, pp. 81–89, Leuven, Belgium (2011)

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  2. https://en.wikipedia.org/wiki/Principle_of_maximum_entropy

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  5. http://www.krugosvet.ru/enc/gumanitarnye_nauki/lingvistika/MASHINNI_PEREVOD.html

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  9. http://bazhenov.me/blog/2013/04/23/maximum-entropy-classifier.html

  10. Translator Yandex. https://translate.yandex.kz/

  11. http://wiki.apertium.org/wiki/Main_Page

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Correspondence to Assem Abeustanova .

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Abeustanova, A., Tukeyev, U. (2017). Automatic Post-editing of Kazakh Sentences Machine Translated from English. In: Król, D., Nguyen, N., Shirai, K. (eds) Advanced Topics in Intelligent Information and Database Systems. ACIIDS 2017. Studies in Computational Intelligence, vol 710. Springer, Cham. https://doi.org/10.1007/978-3-319-56660-3_25

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  • DOI: https://doi.org/10.1007/978-3-319-56660-3_25

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56659-7

  • Online ISBN: 978-3-319-56660-3

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