The comprehension of medical words: Cross-lingual experiments in French and Xhosa

Abstract : This paper presents cross-lingual experiments in automatic detection of medical words that may be difficult to understand by patients. The study relies on Natural Language Processing (NLP) methods, conducted in three steps, across two languages, French and Xhosa: (1) the French data are processed by NLP methods and tools to reproduce the manual categorization of words as understandable or not; (2) the Xhosa data are clustered with a non-supervised algorithm; (3) an analysis of the Xhosa results and their comparison with the results observed on the French data is performed. Some similarities between the two languages are observed.
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https://hal.archives-ouvertes.fr/hal-01972755
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Submitted on : Monday, January 7, 2019 - 8:35:56 PM
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  • HAL Id : hal-01972755, version 1

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Natalia Grabar, Izak Van Zyl, Retha De La Harpe, Thierry Hamon. The comprehension of medical words: Cross-lingual experiments in French and Xhosa. SCITEPRESS Digital Library. International Conference on Health Informatics, Jan 2014, Angers, France. 〈hal-01972755〉

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