Towards AI-supported Health Communication in Plain Language: Evaluating Intralingual Machine Translation of Medical Texts
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A5JK29LZF" target="_blank" >RIV/00216208:11320/25:5JK29LZF - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195213804&partnerID=40&md5=0c7f3da21b2d0d4999d0981655a042b8" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195213804&partnerID=40&md5=0c7f3da21b2d0d4999d0981655a042b8</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Towards AI-supported Health Communication in Plain Language: Evaluating Intralingual Machine Translation of Medical Texts
Original language description
In this paper, we describe results of a study on evaluation of intralingual machine translation. The study focuses on machine translations of medical texts into Plain German. The automatically simplified texts were compared with manually simplified texts (i.e., simplified by human experts) as well as with the underlying, unsimplified source texts. We analyse the quality of the translations based on different criteria, such as correctness, readability, and syntactic complexity. The study revealed that the machine translations were easier to read than the source texts, but contained a higher number of complex syntactic relations than the human translations. Furthermore, we identified various types of mistakes. These included not only grammatical mistakes but also content-related mistakes that resulted, for example, from mistranslations of grammatical structures, ambiguous words or numbers, omissions of relevant prefixes or negation, and incorrect explanations of technical terms. © 2024 ELRA Language Resource Association: CC BY-NC 4.0.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Workshop Patient-Oriented Lang. Process., CL4Health LREC-COLING - Workshop Proc.
ISBN
978-249381425-8
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
44-53
Publisher name
European Language Resources Association (ELRA)
Place of publication
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Event location
Torino, Italia
Event date
Jan 1, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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