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Unsupervised quality estimation model for English to German translation and its application in extensive supervised evaluation
Han A.L.-F.; Wong D.F.; Chao L.S.; He L.; Lu Y.
2014
Source PublicationScientific World Journal
ISSN1537744X 23566140
Volume2014
Abstract

With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress. The conventional MT evaluation methods tend to calculate the similarity between hypothesis translations offered by automatic translation systems and reference translations offered by professional translators. There are several weaknesses in existing evaluation metrics. Firstly, the designed incomprehensive factors result in language-bias problem, which means they perform well on some special language pairs but weak on other language pairs. Secondly, they tend to use no linguistic features or too many linguistic features, of which no usage of linguistic feature draws a lot of criticism from the linguists and too many linguistic features make the model weak in repeatability. Thirdly, the employed reference translations are very expensive and sometimes not available in the practice. In this paper, the authors propose an unsupervised MT evaluation metric using universal part-of-speech tagset without relying on reference translations. The authors also explore the performances of the designed metric on traditional supervised evaluation tasks. Both the supervised and unsupervised experiments show that the designed methods yield higher correlation scores with human judgments. © 2014 Aaron L.-F. Han et al.

DOI10.1155/2014/760301
URLView the original
Indexed BySCI
Language英语
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000335756300001
Fulltext Access
Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
Recommended Citation
GB/T 7714
Han A.L.-F.,Wong D.F.,Chao L.S.,et al. Unsupervised quality estimation model for English to German translation and its application in extensive supervised evaluation[J]. Scientific World Journal,2014,2014.
APA Han A.L.-F.,Wong D.F.,Chao L.S.,He L.,&Lu Y..(2014).Unsupervised quality estimation model for English to German translation and its application in extensive supervised evaluation.Scientific World Journal,2014.
MLA Han A.L.-F.,et al."Unsupervised quality estimation model for English to German translation and its application in extensive supervised evaluation".Scientific World Journal 2014(2014).
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