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Assisting the Translation of SNOMED CT into French
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The objective of this study is to evaluate to approaches assisting the translation of SNOMED CT into French. Two types of approaches were combined: a concept-based one, which relies on conceptual information of the UMLS Metathesaurus and a lexical-based one, which relieson NLP techniques. In addition to the French terminologies (whether included in UMLS or not). Using the concept-based approach, a set of 156,157 (39.4%) SNOMED CT terms were translated to at least one French term from UMLS. Expanded to the French terms from UMLS terminologies translated by CISMeF, 2,548 (+0.7%) additional SNOMED CT terms were translated to at least one French term. Using the lexical-based approach, a set of 145,737 (36.8%) SNOMED CT terms were translated to at least one French term from HeTOP. The qualitative evaluation showed that 44% of the translations were rated as “relevant”. Overall, the two approaches have provided the translation of 168,750 (42.6%) SNOMED CT terms into French using different bilingual terminological sources included in UMLS or in HeTOP.
Title: Assisting the Translation of SNOMED CT into French
Description:
The objective of this study is to evaluate to approaches assisting the translation of SNOMED CT into French.
Two types of approaches were combined: a concept-based one, which relies on conceptual information of the UMLS Metathesaurus and a lexical-based one, which relieson NLP techniques.
In addition to the French terminologies (whether included in UMLS or not).
Using the concept-based approach, a set of 156,157 (39.
4%) SNOMED CT terms were translated to at least one French term from UMLS.
Expanded to the French terms from UMLS terminologies translated by CISMeF, 2,548 (+0.
7%) additional SNOMED CT terms were translated to at least one French term.
Using the lexical-based approach, a set of 145,737 (36.
8%) SNOMED CT terms were translated to at least one French term from HeTOP.
The qualitative evaluation showed that 44% of the translations were rated as “relevant”.
Overall, the two approaches have provided the translation of 168,750 (42.
6%) SNOMED CT terms into French using different bilingual terminological sources included in UMLS or in HeTOP.
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