What is it about?
This article shows how classification methods could be used to measure the similarity between biomedical terms across languages.
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Why is it important?
It helps for semi-automatic translation of biomedical terms across languages and therefore enrich the medical resource with different languages other that English.
Perspectives
This article could be interested for those researchers work in NLP, text mining and machine learning fields of computer science.
Miss Huda Hakami
Read the Original
This page is a summary of: A classification approach for detecting cross-lingual biomedical term translations, Natural Language Engineering, December 2015, Cambridge University Press,
DOI: 10.1017/s1351324915000431.
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