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Automatic spelling detection and correction in the medical domain: a systematic literature review

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dc.contributor.authorLópez Hernández, Jésica
dc.contributor.authorAlmela, Ángela
dc.contributor.authorValencia García, Rafael
dc.contributor.departmentFilología Inglesa
dc.date.accessioned2026-02-19T08:13:19Z
dc.date.available2026-02-19T08:13:19Z
dc.date.copyright© 2019 Springer Nature Switzerland AG
dc.date.issued2019
dc.description.abstractAutomatic spelling correction is one of the most important problems in natural language processing. Its difficulty increases in medical corpora, due to the intrinsic particularities that have these texts. These features include the use of specific terminology, abbreviations, acronyms and the presence of writing errors. In this article we present a systematic review of the literature on automatic spelling detection and correction for the medical domain. There are many works on detection and automatic correction, but there is no review delving into the process of automatic correction in the medical domain. Therefore, we intend to synthesize all the existing information on this research topic and the types of studies that have been carried out to date. We present the main techniques and resources, and finally also the limitations and specific challenges. The results reflect the importance of compiling an exhaustive dictionary. In addition, the results show the ordinary use of distance algorithms of spelling and phonetic similarity, as well as with statistical techniques. The improvement of performance in recent years is especially relevant because of the use of context-based methods, such as linguistic models or neural embeddings.
dc.formatapplication/pdf
dc.identifier.doihttps://doi.org/10.1007/978-3-030-34989-9_8
dc.identifier.eisbn978-3-030-34989-9
dc.identifier.isbn978-3-030-34988-2
dc.identifier.urihttp://hdl.handle.net/10201/207961
dc.languageeng
dc.publisherSpringer Nature
dc.relationThis research was funded by the Spanish National Research Agency (AEI) and the European Regional Development Fund (FEDER/ERDF) through project KBS4FIA (TIN2016-76323-R). This research is also funded by the Ministry of Education of Spain through the National Program for University Teacher Training (FPU/Ayudas para la formación de profesorado universitario).
dc.relation.ispartofCommunications in Computer and Information Science, vol 1124. Springer, Cham. https://doi.org/10.1007/978-3-030-34989-9_8
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-34989-9_8
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectAutomatic spelling correction
dc.subjectMedicine domain
dc.subjectSpelling errors
dc.subjectAutomatic spelling detection
dc.subjectMisspellings
dc.subjectLiterature review
dc.subject.odsObjetivo 3: Salud
dc.titleAutomatic spelling detection and correction in the medical domain: a systematic literature review
dc.typeinfo:eu-repo/semantics/bookPart
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
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relation.isAuthorOfPublicationa3124e18-690d-4cfc-80a4-98e6b667d928
relation.isAuthorOfPublicationab591422-699c-4535-8e8f-fd09f0e90ec2
relation.isAuthorOfPublication.latestForDiscovery954de8a1-6495-440a-9482-8520473b81df
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