Finding Medical Term Variations using Parallel Corpora and Distributional Similarity

Lonneke van der Plas, Jorg Tiedemann

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

Abstract

We describe a method for the identification of medical term variation using parallel corpora and measures of distributional similarity. Our approach is based on automatic word alignment and standard phrase extraction techniques commonly used in statistical machine translation. Combined with pattern-based filters we obtain encouraging results compared to related approaches using similar data-driven techniques.
Original languageOther/Unknown
Title of host publicationUnknown host publication
Number of pages10
Publication date1 Aug 2010
Pages28-37
Publication statusPublished - 1 Aug 2010
MoE publication typeA4 Article in conference proceedings

Cite this

van der Plas, Lonneke ; Tiedemann, Jorg. / Finding Medical Term Variations using Parallel Corpora and Distributional Similarity. Unknown host publication. 2010. pp. 28-37
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abstract = "We describe a method for the identification of medical term variation using parallel corpora and measures of distributional similarity. Our approach is based on automatic word alignment and standard phrase extraction techniques commonly used in statistical machine translation. Combined with pattern-based filters we obtain encouraging results compared to related approaches using similar data-driven techniques.",
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Finding Medical Term Variations using Parallel Corpora and Distributional Similarity. / van der Plas, Lonneke; Tiedemann, Jorg.

Unknown host publication. 2010. p. 28-37.

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

TY - GEN

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N2 - We describe a method for the identification of medical term variation using parallel corpora and measures of distributional similarity. Our approach is based on automatic word alignment and standard phrase extraction techniques commonly used in statistical machine translation. Combined with pattern-based filters we obtain encouraging results compared to related approaches using similar data-driven techniques.

AB - We describe a method for the identification of medical term variation using parallel corpora and measures of distributional similarity. Our approach is based on automatic word alignment and standard phrase extraction techniques commonly used in statistical machine translation. Combined with pattern-based filters we obtain encouraging results compared to related approaches using similar data-driven techniques.

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