Czech-English Phrase-Based Machine Translation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F06%3A10088950" target="_blank" >RIV/00216208:11320/06:10088950 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Czech-English Phrase-Based Machine Translation

Original language description

We describe experiments with Czech-to-English phrase-based machine translation. Several techniques for improving translation quality (in terms of well-established measure BLEU) are evaluated. In total, we are able to achieve BLEU of 0.36 to 0.41 on the examined corpus of Wall Street Journal texts, outperforming all other systems evaluated on this language pair.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

AI - Linguistics

OECD FORD branch

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Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2006

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Lecture Notes in Computer Science

ISSN

0302-9743

e-ISSN

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Volume of the periodical

2006

Issue of the periodical within the volume

4139

Country of publishing house

DE - GERMANY

Number of pages

11

Pages from-to

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UT code for WoS article

000240270400021

EID of the result in the Scopus database

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