Evaluation of Machine Translation Quality through the Metrics of Error Rate and Accuracy
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F20%3A39916683" target="_blank" >RIV/00216275:25410/20:39916683 - isvavai.cz</a>
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S1877050920311212" target="_blank" >https://www.sciencedirect.com/science/article/pii/S1877050920311212</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.procs.2020.04.142" target="_blank" >10.1016/j.procs.2020.04.142</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation of Machine Translation Quality through the Metrics of Error Rate and Accuracy
Original language description
The aim of the paper is to find out whether it is necessary to use all automatic measures of error rate and accuracy when evaluating the quality of machine translation output from the synthetic Slovak language into the analytical English language. We used multiple comparisons for the analysis and visualized the results for each sentence through the icon graphs. Based on the results, we can state that all examined metrics, which are based on textual similarity, except the f-measure, are needed to be included in the MT quality evaluation when analyzing, sentence by sentence, the machine translation output.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia Computer Science : Third International Conference on Computing and Network Communications (CoCoNet'19)
ISBN
—
ISSN
1877-0509
e-ISSN
—
Number of pages
10
Pages from-to
1327-1336
Publisher name
Elsevier Science BV
Place of publication
Amsterdam
Event location
Trivadrum
Event date
Dec 18, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—