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Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
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Creating a medical English-Swedish dictionary using interactive word alignment.

Mikael Nyström1, Magnus Merkel, Lars Ahrenberg

  • 1Department of Biomedical Engineering, Linköpings universitet, SE-58185 Linköping, Sweden. mikny@imt.liu.se

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Summary

A semi-automatic method efficiently created a 31,000-entry English-Swedish medical dictionary in under three weeks. This approach also identified 40 translation inconsistencies within medical terminology systems.

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Area of Science:

  • Medical Informatics
  • Computational Linguistics
  • Lexicography

Background:

  • Utilized parallel rubrics from International Classification of Diseases, 10th Revision (ICD-10), International Classification of Functioning, Disability and Health (ICF), Medical Subject Headings (MeSH), Nordic Classification of Surgical Procedures (NCSP), and KSH97-P.
  • Explored methods applicable to various West European language pairs beyond English-Swedish.

Purpose of the Study:

  • To semi-automatically create an English-Swedish medical terminology dictionary.
  • To assess the efficiency and quality of a semi-automatic dictionary creation method.

Main Methods:

  • Collected electronic medical terminology systems in English and Swedish.
  • Extracted parallel rubrics and used interactive word alignment for training data.
  • Employed automatic word alignment to generate candidate term pairs, followed by manual verification.

Main Results:

  • Generated a verified English-Swedish medical dictionary with 31,000 entries in less than three person-weeks.
  • Achieved significant time and effort savings compared to manual dictionary creation without quality compromise.
  • Identified 40 translation problems, highlighting the method's utility in detecting terminology inconsistencies.

Conclusions:

  • Successfully produced a substantial medical dictionary efficiently.
  • Demonstrated the method's effectiveness in identifying hidden translation errors within medical terminology systems.
  • Provided insights into optimizing semi-automatic dictionary creation processes.