Creating a medical English-Swedish dictionary using interactive word alignment
<p>Abstract</p> <p>Background</p> <p>This paper reports on a parallel collection of rubrics from the medical terminology systems ICD-10, ICF, MeSH, NCSP and KSH97-P and its use for semi-automatic creation of an English-Swedish dictionary of medical terminology. The meth...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2006-10-01
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| Series: | BMC Medical Informatics and Decision Making |
| Online Access: | http://www.biomedcentral.com/1472-6947/6/35 |
| _version_ | 1818556027940896768 |
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| author | Zweigenbaum Pierre Ahrenberg Lars Merkel Magnus Nyström Mikael Petersson Håkan Åhlfeldt Hans |
| author_facet | Zweigenbaum Pierre Ahrenberg Lars Merkel Magnus Nyström Mikael Petersson Håkan Åhlfeldt Hans |
| author_sort | Zweigenbaum Pierre |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>This paper reports on a parallel collection of rubrics from the medical terminology systems ICD-10, ICF, MeSH, NCSP and KSH97-P and its use for semi-automatic creation of an English-Swedish dictionary of medical terminology. The methods presented are relevant for many other West European language pairs than English-Swedish.</p> <p>Methods</p> <p>The medical terminology systems were collected in electronic format in both English and Swedish and the rubrics were extracted in parallel language pairs. Initially, interactive word alignment was used to create training data from a sample. Then the training data were utilised in automatic word alignment in order to generate candidate term pairs. The last step was manual verification of the term pair candidates.</p> <p>Results</p> <p>A dictionary of 31,000 verified entries has been created in less than three man weeks, thus with considerably less time and effort needed compared to a manual approach, and without compromising quality. As a side effect of our work we found 40 different translation problems in the terminology systems and these results indicate the power of the method for finding inconsistencies in terminology translations. We also report on some factors that may contribute to making the process of dictionary creation with similar tools even more expedient. Finally, the contribution is discussed in relation to other ongoing efforts in constructing medical lexicons for non-English languages.</p> <p>Conclusion</p> <p>In three man weeks we were able to produce a medical English-Swedish dictionary consisting of 31,000 entries and also found hidden translation errors in the utilized medical terminology systems.</p> |
| first_indexed | 2024-12-13T23:42:10Z |
| format | Article |
| id | doaj.art-ae52d8c1ae324432b912fefd987922b4 |
| institution | Directory Open Access Journal |
| issn | 1472-6947 |
| language | English |
| last_indexed | 2024-12-13T23:42:10Z |
| publishDate | 2006-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Medical Informatics and Decision Making |
| spelling | doaj.art-ae52d8c1ae324432b912fefd987922b42022-12-21T23:27:09ZengBMCBMC Medical Informatics and Decision Making1472-69472006-10-01613510.1186/1472-6947-6-35Creating a medical English-Swedish dictionary using interactive word alignmentZweigenbaum PierreAhrenberg LarsMerkel MagnusNyström MikaelPetersson HåkanÅhlfeldt Hans<p>Abstract</p> <p>Background</p> <p>This paper reports on a parallel collection of rubrics from the medical terminology systems ICD-10, ICF, MeSH, NCSP and KSH97-P and its use for semi-automatic creation of an English-Swedish dictionary of medical terminology. The methods presented are relevant for many other West European language pairs than English-Swedish.</p> <p>Methods</p> <p>The medical terminology systems were collected in electronic format in both English and Swedish and the rubrics were extracted in parallel language pairs. Initially, interactive word alignment was used to create training data from a sample. Then the training data were utilised in automatic word alignment in order to generate candidate term pairs. The last step was manual verification of the term pair candidates.</p> <p>Results</p> <p>A dictionary of 31,000 verified entries has been created in less than three man weeks, thus with considerably less time and effort needed compared to a manual approach, and without compromising quality. As a side effect of our work we found 40 different translation problems in the terminology systems and these results indicate the power of the method for finding inconsistencies in terminology translations. We also report on some factors that may contribute to making the process of dictionary creation with similar tools even more expedient. Finally, the contribution is discussed in relation to other ongoing efforts in constructing medical lexicons for non-English languages.</p> <p>Conclusion</p> <p>In three man weeks we were able to produce a medical English-Swedish dictionary consisting of 31,000 entries and also found hidden translation errors in the utilized medical terminology systems.</p>http://www.biomedcentral.com/1472-6947/6/35 |
| spellingShingle | Zweigenbaum Pierre Ahrenberg Lars Merkel Magnus Nyström Mikael Petersson Håkan Åhlfeldt Hans Creating a medical English-Swedish dictionary using interactive word alignment BMC Medical Informatics and Decision Making |
| title | Creating a medical English-Swedish dictionary using interactive word alignment |
| title_full | Creating a medical English-Swedish dictionary using interactive word alignment |
| title_fullStr | Creating a medical English-Swedish dictionary using interactive word alignment |
| title_full_unstemmed | Creating a medical English-Swedish dictionary using interactive word alignment |
| title_short | Creating a medical English-Swedish dictionary using interactive word alignment |
| title_sort | creating a medical english swedish dictionary using interactive word alignment |
| url | http://www.biomedcentral.com/1472-6947/6/35 |
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