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Kartbayev, 2015 - Google Patents

SMT: A case study of kazakh-english word alignment

Kartbayev, 2015

Document ID
11036802681393084077
Author
Kartbayev A
Publication year
Publication venue
International Conference on Web Engineering

External Links

Snippet

In this paper, we present results from a set of experiments to determine the effect on translation quality, it depends on the particular kind of morphological preprocessing that can be represented by finite-state transducers. A high agglutinative nature of the Kazakh …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/20—Handling natural language data
    • G06F17/27—Automatic analysis, e.g. parsing
    • G06F17/2765—Recognition
    • G06F17/277—Lexical analysis, e.g. tokenisation, collocates
    • G—PHYSICS
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    • G06F17/2809—Data driven translation
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