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Diagnostic evaluation of machine translation systems using automatically constructed linguistic check-points

  • Ming Zhou*
  • , Bo Wang
  • , Shujie Liu
  • , Mu Li
  • , Dongdong Zhang
  • , Tiejun Zhao
  • *Corresponding author for this work
  • Microsoft USA
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a diagnostic evaluation platform which provides multi-factored evaluation based on automatically constructed check-points. A check-point is a linguistically motivated unit (e.g. an ambiguous word, a noun phrase, a verb∼obj collocation, a prepositional phrase etc.), which are pre-defined in a linguistic taxonomy. We present a method that automatically extracts check-points from parallel sentences. By means of checkpoints, our method can monitor a MT system in translating important linguistic phenomena to provide diagnostic evaluation. The effectiveness of our approach for diagnostic evaluation is verified through experiments on various types of MT systems.

Original languageEnglish
Title of host publicationColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
PublisherAssociation for Computational Linguistics (ACL)
Pages1121-1128
Number of pages8
ISBN (Print)9781905593446
DOIs
StatePublished - 2008
Event22nd International Conference on Computational Linguistics, Coling 2008 - Manchester, United Kingdom
Duration: 18 Aug 200822 Aug 2008

Publication series

NameColing 2008 - 22nd International Conference on Computational Linguistics, Proceedings of the Conference
Volume1

Conference

Conference22nd International Conference on Computational Linguistics, Coling 2008
Country/TerritoryUnited Kingdom
CityManchester
Period18/08/0822/08/08

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