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Auxiliary Techniques to Help Readers Understand Texts
Linköpings universitet, Institutionen för datavetenskap, Människocentrerade system. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för datavetenskap, Människocentrerade system. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0003-4899-588X
2024 (Engelska)Ingår i: Papers from The Tenth Swedish Language Technology Conference (SLTC), 2024Konferensbidrag, Publicerat paper (Övrigt vetenskapligt)
Abstract [en]

 We explore three auxiliary techniques for automatic text adaptation (ATA)—epithets for nouns, explanations for keywords, and syllabification—to aid reading for individuals with reading difficulties. In an initial evaluation, we conducted a study with individuals possessing average reading skills. Results indicate that while all three techniques demonstrate high accuracy, their usefulness varies. Epithets were found to be less beneficial, possibly due to the introduction of excessive information, although they may assist certain populations, such as individuals with intellectual disabilities. Keyword explanations were generally helpful and accurate, though occasional inaccuracies arose with rare or domain-specific terms. The effectiveness of syllabification was found to be contingent on the specific words being processed. These findings suggest that while ATA techniques can improve reading accessibility, their varying impacts highlight the need for tailored approaches based on the reader's needs.

Ort, förlag, år, upplaga, sidor
2024.
Nationell ämneskategori
Språkbehandling och datorlingvistik
Identifikatorer
URN: urn:nbn:se:liu:diva-212604OAI: oai:DiVA.org:liu-212604DiVA, id: diva2:1947117
Konferens
The Tenth Swedish Language Technology Conference (SLTC), November 27-29, 2024
Tillgänglig från: 2025-03-25 Skapad: 2025-03-25 Senast uppdaterad: 2025-04-02Bibliografiskt granskad

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Holmer, DanielJönsson, Arne

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