Evaluation of Machine Translation Metrics for Czech as the Target Language
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A00206583" target="_blank" >RIV/00216208:11320/09:00206583 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Evaluation of Machine Translation Metrics for Czech as the Target Language
Original language description
In the present work we study semi-automatic evaluation techniques of machine translation (MT) systems. These techniques are based on a comparison of the MT system's output to human translations of the same text. Various metrics were proposed in the recent years, ranging from metrics using only a unigram comparison to metrics that try to take advantage of additional syntactic or semantic information. The main goal of this article is to compare these metrics with respect to their correlation with human judgments for Czech as the target language and to propose the best ones that can be used for an evaluation of MT systems translating into Czech language.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AI - Linguistics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/ME%20838" target="_blank" >ME 838: Collaborative investigation of meaning representation in language understanding</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Prague Bulletin of Mathematical Linguistics
ISSN
0032-6585
e-ISSN
—
Volume of the periodical
Neuveden
Issue of the periodical within the volume
92
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
14
Pages from-to
—
UT code for WoS article
—
EID of the result in the Scopus database
—