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Data from: A cross-lingual similarity measure for detecting biomedical term translations ...
Bollegala, Danushka
;
Kontonatsios, Georgios
;
Ananiadou, Sophia
. - : Dryad, 2016
Abstract:
Bilingual dictionaries for technical terms such as biomedical terms are an important resource for machine translation systems as well as for humans who would like to understand a concept described in a foreign language. Often a biomedical term is first proposed in English and later it is manually translated to other languages. Despite the fact that there are large monolingual lexicons of biomedical terms, only a fraction of those term lexicons are translated to other languages. Manually compiling large-scale bilingual dictionaries for technical domains is a challenging task because it is difficult to find a sufficiently large number of bilingual experts. We propose a cross-lingual similarity measure for detecting most similar translation candidates for a biomedical term specified in one language (source) from another language (target). Specifically, a biomedical term in a language is represented using two types of features: (a) intrinsic features that consist of character n-grams extracted from the term ... : plos_medpred_datasetDataset used in the experiments described in the paper. ...
URL:
https://dx.doi.org/10.5061/dryad.35cs5
http://datadryad.org/stash/dataset/doi:10.5061/dryad.35cs5
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