Dual use of linguistic resources: evaluation of MT systems and language learners

  • Authors:

  • Lisa Decrozant;Clare R. Voss

  • Affiliations:

  • University of Maryland and Army Research Laboratory, Adelphi;Army Research Laboratory, Adelphi

  • Venue:
  • ASSESSEVALNLP '99 Proceedings of a Symposium on Computer Mediated Language Assessment and Evaluation in Natural Language Processing
  • Year:
  • 1999

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Abstract

Human translators working with "embedded machine translation (MT) systems" on the task of filtering text documents in a foreign language often have limited training in the foreign language they encounter. For our MT system users who are also language learners, we are developing a suite of linguistic tools that enable them, on the same laptop platform, to perform their foreign language filtering tasks using a combination of Optical Character Recognition (OCR), Machine Translation (MT), Information Retrieval (IR) and language sustainment tools. Thus we have begun constructing linguistic test suites that can serve the dual needs we have for the evaluation of MT systems and language learning.