Experiments with Russian to Kazakh sentence alignment

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dc.contributor.authorAssylbekov, Zhenisbek
dc.contributor.authorMyrzakhmetov, Bagdat
dc.contributor.authorMakazhanov, Aibek
dc.date.accessioned2016-09-20T10:26:55Z
dc.date.available2016-09-20T10:26:55Z
dc.date.issued2016
dc.description.abstractSentence alignment is the final step in building parallel corpora, which arguably has the greatest impact on the quality of a resulting corpus and the accuracy of machine translation systems that use it for training. However, the quality of sentence alignment itself depends on a number of factors. In this paper we investigate the impact of several data processing techniques on the quality of sentence alignment. We develop and use a number of automatic evaluation metrics, and provide empirical evidence that application of all of the considered data processing techniques yields bitexts with the lowest ratio of noise and the highest ratio of parallel sentences.ru_RU
dc.identifier.citationZhenisbek Assylbekov , Bagdat Myrzakhmetov and Aibek Makazhanov (2016) Experiments with Russian to Kazakh sentence alignment. The 4-th International Conference on Computer Processing of Turkic Languages “TurkLang 2016”.ru_RU
dc.identifier.urihttp://nur.nu.edu.kz/handle/123456789/1694
dc.language.isoenru_RU
dc.publisherThe 4-th International Conference on Computer Processing of Turkic Languages “TurkLang 2016”ru_RU
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/us/*
dc.subjectsentence alignmentru_RU
dc.subjectsentence splittingru_RU
dc.subjectlemmatizationru_RU
dc.subjectparallel corpusru_RU
dc.subjectKazakh languageru_RU
dc.subjectвыравнивание по предложениямru_RU
dc.subjectразбивка по предложениямru_RU
dc.subjectлемматизацияru_RU
dc.subjectпараллельный корпусru_RU
dc.subjectказахский языкru_RU
dc.subjectResearch Subject Categories::MATHEMATICSru_RU
dc.titleExperiments with Russian to Kazakh sentence alignmentru_RU
dc.typeConference Paperru_RU

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