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Translating the Foundational Model of Anatomy into French using knowledge-based and lexical methods
Tayeb Merabti1, Lina F Soualmia, Julien Grosjean
1CISMeF, Rouen University Hospital, Normandy & TIBS, LITIS EA 4108, Institute of Biomedical Research, Rouen, France. tayeb.merabti@chu-rouen.fr
This study explored automated methods for translating English Foundational Model of Anatomy (FMA) terms into French. Both UMLS-based and lexical approaches yielded partial translations, aiding the creation of French anatomical resources.
Area of Science:
- Medical Informatics
- Computational Linguistics
- Anatomy Ontology
Background:
- The Foundational Model of Anatomy (FMA) is a key human anatomy ontology.
- FMA is primarily in English and integrated into the French Health Multi Terminological Portal (HMTP).
- Translating FMA into French enhances searching and indexing of French anatomical resources.
Purpose of the Study:
- To facilitate the translation of FMA vocabulary from English to French.
- To compare the effectiveness of UMLS-based and lexical approaches for FMA translation.
Main Methods:
- Compared a UMLS metathesaurus-based approach with a lexical approach using Natural Language Processing (NLP) tools.
- Evaluated 100 translations from each method qualitatively.
Main Results:
- The UMLS-based approach translated 3,661 terms; the lexical approach translated 3,129 terms.
- Qualitative evaluation showed 52% "very good" translations for UMLS-based vs. 47% for lexical.
- The lexical approach had a higher rate of "bad" translations (20%) compared to UMLS-based (7%).
Conclusions:
- Both methods allowed semi-automatic translation of 3,776 FMA terms into French.
- These translations supplement the existing French FMA terms within the HMTP.
- The study contributes to multilingual medical vocabulary development.
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