Automatic Translation Error Analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F11%3A10107806" target="_blank" >RIV/00216208:11320/11:10107806 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-642-23538-2" target="_blank" >http://dx.doi.org/10.1007/978-3-642-23538-2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-642-23538-2" target="_blank" >10.1007/978-3-642-23538-2</a>

Result language

angličtina

Original language name

Automatic Translation Error Analysis

Original language description

We propose a method of automatic identification of various error types in machine translation output. The approach is mostly based on monolingual word alignment of the hypothesis and the reference translation. In addition to common lexical errors misplaced words are also detected. A comparison to manually classified MT errors is presented. Our error classification is inspired by that of Vilar et al. (2006), although distinguishing some of their categories is beyond the reach of the current version of our system.

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

2011

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

6836

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

8

Pages from-to

72-79

UT code for WoS article

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EID of the result in the Scopus database

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