Targeted Paraphrasing on Deep Syntactic Layer for MT Evaluation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F15%3A10318124" target="_blank" >RIV/00216208:11320/15:10318124 - isvavai.cz</a>
Result on the web
<a href="http://www.aclweb.org/anthology/W15-2104" target="_blank" >http://www.aclweb.org/anthology/W15-2104</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Targeted Paraphrasing on Deep Syntactic Layer for MT Evaluation
Original language description
In this paper, we present a method of improving quality of machine translation (MT) evaluation of Czech sentences via targeted paraphrasing of reference sentences on a deep syntactic layer. For this purpose, we employ NLP framework Treex and extend it with modules for targeted paraphrasing and word order changes. Automatic scores computed using these paraphrased reference sentences show higher correlation with human judgment than scores computed on the original reference sentences.
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
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the Third International Conference on Dependency Linguistics (Depling 2015)
ISBN
978-91-637-8965-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
20-27
Publisher name
Uppsala University
Place of publication
Uppsala, Sweden
Event location
Uppsala, Sweden
Event date
Aug 24, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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