Linguistic measures for automatic machine translation evaluation
Linguistic measures for automatic machine translation evaluation
About this item
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Author / Creator
Publisher
Dordrecht: Springer
Journal title
Language
English
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Publication information
Publisher
Dordrecht: Springer
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Scope and Contents
Contents
Assessing the quality of candidate translations involves diverse linguistic facets. However, most automatic evaluation methods in use today rely on limited quality assumptions, such as lexical similarity. This introduces a bias in the development cycle which in some cases has been reported to carry very negative consequences. In order to tackle thi...
Alternative Titles
Full title
Linguistic measures for automatic machine translation evaluation
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_csuc_recercat_oai_recercat_cat_2072_194958
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_csuc_recercat_oai_recercat_cat_2072_194958
Other Identifiers
ISSN
0922-6567
E-ISSN
1573-0573
DOI
10.1007/s10590-011-9088-7
