A Method of Hybrid MT for Related Languages
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F10%3A10071192" target="_blank" >RIV/00216208:11320/10:10071192 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Method of Hybrid MT for Related Languages
Original language description
The paper introduces a hybrid approach to a very specific field in machine translation - the translation of closely related languages. It mentions previous experiments performed forclosely related Scandinavian, Slavic, Turkic and Romanic languagesand describes a novel method, a combination of a simple shallowparser of the source language (Czech) combined with a stochasticranker of (parts of) sentences in the target language (Slovak, Russian, Slovenian). The ranker exploits a simple stochastic model ofthe target language and its main task is to choose the best translation among those provided by the system. The last section of thepaper presents results indicating better translation quality comparedto the existing MT system for Czech and Slovak and compares themwith the results obtained by the translation from Czech to Russian using the same system.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AI - Linguistics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/1ET100300517" target="_blank" >1ET100300517: Methods for Intelligent Systems and Their Applications in Datamining and Natural Language Processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Control and Cybernetics
ISSN
0324-8569
e-ISSN
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Volume of the periodical
39
Issue of the periodical within the volume
2
Country of publishing house
PL - POLAND
Number of pages
18
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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