Lexical Paraphrasing for Improvement of MT Evaluation

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10194620" target="_blank" >RIV/00216208:11320/13:10194620 - isvavai.cz</a>
Výsledek na webu
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DOI - Digital Object Identifier
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Jazyk výsledku
angličtina
Název v původním jazyce
Lexical Paraphrasing for Improvement of MT Evaluation
Popis výsledku v původním jazyce
In this paper, we discuss the possibility of making the automatic evaluation of machine translation (MT) more accurate by targeted paraphrasing. The most common automatic metric for MT evaluation BLEU disregards synonymous phrases and word order variants. One way how to alleviate this drawback is to transform the reference translation into a one that is closer to the MT output and keeps its original meaning. We start with a basic algorithm for lexical substitution and discuss extending the process withword order changes and grammar checking.
Název v anglickém jazyce
Lexical Paraphrasing for Improvement of MT Evaluation
Popis výsledku anglicky
In this paper, we discuss the possibility of making the automatic evaluation of machine translation (MT) more accurate by targeted paraphrasing. The most common automatic metric for MT evaluation BLEU disregards synonymous phrases and word order variants. One way how to alleviate this drawback is to transform the reference translation into a one that is closer to the MT output and keeps its original meaning. We start with a basic algorithm for lexical substitution and discuss extending the process withword order changes and grammar checking.

Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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