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SNOMED CT in a language isolate: an algorithm for a semiautomatic translation
BACKGROUND: The Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatically translate the SNOMED CT terminology content to...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474582/ https://www.ncbi.nlm.nih.gov/pubmed/26100112 http://dx.doi.org/10.1186/1472-6947-15-S2-S5 |
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author | Perez-de-Viñaspre, Olatz Oronoz, Maite |
author_facet | Perez-de-Viñaspre, Olatz Oronoz, Maite |
author_sort | Perez-de-Viñaspre, Olatz |
collection | PubMed |
description | BACKGROUND: The Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatically translate the SNOMED CT terminology content to Basque, a less resourced language is presented in this paper. METHODS: A translation algorithm that has its basis in Natural Language Processing methods has been designed and partially implemented. The algorithm comprises four phases from which the first two have been implemented and quantitatively evaluated. RESULTS: Results are promising as we obtained the equivalents in Basque of 21.41% of the disorder terms of the English SNOMED CT release. As the methods developed are focused on that hierarchy, the results in other hierarchies are lower (12.57% for body structure descriptions, 8.80% for findings and 3% for procedures). CONCLUSIONS: We are in the way to reach two of our objectives when translating SNOMED CT to Basque: to use our language to access rich multilingual resources and to strengthen the use of the Basque language in the biomedical area. |
format | Online Article Text |
id | pubmed-4474582 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44745822015-06-25 SNOMED CT in a language isolate: an algorithm for a semiautomatic translation Perez-de-Viñaspre, Olatz Oronoz, Maite BMC Med Inform Decis Mak Proceedings BACKGROUND: The Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) is officially released in English and Spanish. In the Basque Autonomous Community two languages, Spanish and Basque, are official. The first attempt to semi-automatically translate the SNOMED CT terminology content to Basque, a less resourced language is presented in this paper. METHODS: A translation algorithm that has its basis in Natural Language Processing methods has been designed and partially implemented. The algorithm comprises four phases from which the first two have been implemented and quantitatively evaluated. RESULTS: Results are promising as we obtained the equivalents in Basque of 21.41% of the disorder terms of the English SNOMED CT release. As the methods developed are focused on that hierarchy, the results in other hierarchies are lower (12.57% for body structure descriptions, 8.80% for findings and 3% for procedures). CONCLUSIONS: We are in the way to reach two of our objectives when translating SNOMED CT to Basque: to use our language to access rich multilingual resources and to strengthen the use of the Basque language in the biomedical area. BioMed Central 2015-06-15 /pmc/articles/PMC4474582/ /pubmed/26100112 http://dx.doi.org/10.1186/1472-6947-15-S2-S5 Text en Copyright © 2015 Perez-de-Viñaspre and Oronoz; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Proceedings Perez-de-Viñaspre, Olatz Oronoz, Maite SNOMED CT in a language isolate: an algorithm for a semiautomatic translation |
title | SNOMED CT in a language isolate: an algorithm for a semiautomatic translation |
title_full | SNOMED CT in a language isolate: an algorithm for a semiautomatic translation |
title_fullStr | SNOMED CT in a language isolate: an algorithm for a semiautomatic translation |
title_full_unstemmed | SNOMED CT in a language isolate: an algorithm for a semiautomatic translation |
title_short | SNOMED CT in a language isolate: an algorithm for a semiautomatic translation |
title_sort | snomed ct in a language isolate: an algorithm for a semiautomatic translation |
topic | Proceedings |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4474582/ https://www.ncbi.nlm.nih.gov/pubmed/26100112 http://dx.doi.org/10.1186/1472-6947-15-S2-S5 |
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