Automatic Evaluation of Machine Translation Output for Slovak Language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39902474" target="_blank" >RIV/00216275:25410/16:39902474 - 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
Automatic Evaluation of Machine Translation Output for Slovak Language
Original language description
Future improvements of machine translation (MT) systems require reliable tools for automatic evaluation of machine translation system like tools for the identification and classification of machine translation errors. The aim of this paper is to summarise the metrics for automatic evaluation of machine translation systems and to propose a tool for automatic MT evaluation focusing on one translation direction, into Slovak language, that will be used in our project and in a dissertation thesis. We focus on a goal of the automatic MT evaluation; we describe the relevance of automatic evaluation of MT output in comparison to manual evaluation, basic methods for the automatic MT evaluation with the basic linguistic errors occurring frequently in the machine translation output. Our proposed tool for automatic MT evaluation comprises these methods and provides output data that can be used to improve existing machine translation systems like the Google translator API or the MT@EC, both are be used in our project.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
DIVAI 2016 - 11th International Scientific Conference on Distance Learning in Applied Informatics
ISBN
978-80-7552-249-8
ISSN
2464-7470
e-ISSN
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Number of pages
8
Pages from-to
533-540
Publisher name
Wolters Kluwer ČR, a. s.
Place of publication
Praha
Event location
Štúrovo
Event date
May 2, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000386971000046