Normalization of medical terms with multi-lingual resources

A computer program product comprising a computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code executable by one or more computer processors to perform an operation comprising:

• receiving data including a medically-related input term in a source language;
• translating, using a first dictionary, the input term from the source language into a plurality of target languages to obtain a set of translated terms of the input term;
• for each respective translated term in the set of translated terms, translating, using a second dictionary, from one or more pre-defined domain specific dictionaries, that is specific to a medical domain, the respective translated term back into the source language to obtain an output list of normalized versions of the input term, wherein each normalized version in the output list are specific to the medical domain;
• assigning a respective score to each respective entry of the output list of normalized versions based on a respective probability of the respective entry being the most standard version of the input term;
• identifying an entry of the output list having a highest score;
• and
• provide the entry of the output list having the highest score as normalized input to a medical data processing application that processes the data.

A system, comprising:

• one or more computer processors;
• and
• a memory containing a program which when executed by the one or more computer processors performs an operation, the operation comprising:
• receiving data including a medically-related input term in a source language;
• translating, using a first dictionary, the input term from the source language into a plurality of target languages to obtain a set of translated terms of the input term;
• for each respective translated term in the set of translated terms, translating, using a second dictionary, from one or more pre-defined domain specific dictionaries, that is specific to a medical domain, the respective translated term back into the source language to obtain an output list of normalized versions of the input term, wherein each normalized version in the output list are specific to the medical domain;
• assigning a respective score to each respective entry of the output list of normalized versions based on a respective probability of the respective entry being the most standard version of the input term;
• identifying an entry of the output list having a highest score;
• and
• providing the entry of the output list having the highest score as normalized input to a medical data processing application that processes the data.