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W13-2242.pdf
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🔗 Source: aclanthology.org
📊 Size: 292 KB
👤 Author: Ergun Bicici
⬇️ Downloads: 339

Summary

Ergun Bicici introduces Referential Translation Machines (RTMs) for quality estimation of translation outputs, a computational model for identifying translation acts between two data sets with respect to a reference corpus. RTMs achieve top performance in predicting sentence-level and word-level statistical machine translation quality without accessing SMT system-specific information or prior knowledge of training data. The model is based on selecting common training data relevant to both the training and test sets, called interpretants, which provide a reference point for similarity judgments. RTMs are used to develop novel techniques for the WMT13 quality estimation task, achieving improvements over previous results and ranking 1st or 2nd in all subtasks.

Description

Ergun Bicici introduces Referential Translation Machines (RTMs) for quality estimation of translation outputs, a computational model for identifying...

Technical Information

  • File Format: PDF
  • File Size: 292 KB
  • Pages: 9
  • Language: EN
  • Author: Ergun Bicici
  • Total Downloads: 339
  • Last Updated: 3 weeks ago

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