Linguistic errors in the biomedical domain: Towards an error typology for Spanish

Abstract

Linguistic errors in the biomedical domain: Towards an error typology for Spanish. The objective of this work is the analysis of errors contained in a corpus of medical reports in natural language and the design of a typology of errors, as there was no systematic review on verification and correction of errors in clinical documentation in Spanish. In the development of automatic detection and correction systems, it is of great interest to delve into the nature of the linguistic errors that occur in clinical reports, in order to detect and treat them properly. The results show that omission errors are the most frequent ones in the analyzed sample, and that word length certainly influences error frequency. The typification of error patterns provided is enabling the development of a module based on linguistic knowledge, which is currently in progress. This will help to improve the performance of error detection and correction systems for the biomedical domain.

Analysis of Context-Dependent Errors in the Medical Domain in Spanish: A Corpus-Based Study

“…Studies on types of errors in Spanish clinical reports have been recently carried out; these works have focused on spelling errors and non-word errors. For instance, in López-Hernández et al (2021), a corpus of emergency medicine was analyzed and the authors concluded that the length of the words is a variable that influences the frequency of errors. This paper also highlights the significant frequency with which the prefixes are separated from the lexical base which they complement, and the lack of consistency in the use of abbreviations.…”