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- 299 creator kay-peterson.
- 299 creator mark-przybocki.
- 299 creator sebastien-bronsart.
- 299 type InProceedings.
- 299 label "Translation Adequacy and Preference Evaluation Tool (TAP-ET)".
- 299 sameAs 299.
- 299 abstract "Evaluation of Machine Translation (MT) technology is often tied to the requirement for tedious manual judgments of translation quality. While automated MT metrology continues to be an active area of research, a well known and often accepted standard metric is the manual human assessment of adequacy and fluency. There are several software packages that have been used to facilitate these judgments, but for the 2008 NIST Open MT Evaluation, NIST s Speech Group created an online software tool to accommodate the requirement for centralized data and distributed judges. This paper introduces the NIST TAP-ET application and reviews the reasoning underlying its design. Where available, analysis of data sets judged for Adequacy and Preference using the TAP-ET application will be presented. TAP-ET is freely available and ready to download, and contains a variety of customizable features.".
- 299 hasAuthorList authorList.
- 299 hasTopic Linguistics.
- 299 isPartOf proceedings.
- 299 keyword "Evaluation methodologies".
- 299 keyword "Machine Translation, SpeechToSpeech Translation".
- 299 keyword "Tools, systems, applications".
- 299 title "Translation Adequacy and Preference Evaluation Tool (TAP-ET)".