Investigation of Vocabularies and Prediction of Verbs by AAC Systems for Speech DisordersBy Lee, Eun-sil; Hwang, Ein-jeong; Hur, Tai-sung; Woo, Yo-seop; Min, Hong-ki; RESNA 27th International Annual Conference 2004: Technology & Disability: Research, Design, Practice, & Policy,
Publication Date: 2004
Paper discusses an augmentative and alternative communication (AAC) system for people with speech disabilities, which was designed by researchers at the Inha Technical College, in Incheon, Korea. The AAC system can predict verbs through the consultation of high-frequency vocabulary words found in thesauruses, dictionaries and conversational utterances. The researchers collected data from nine different locations where situation conversations occur: (1) restaurants, (2) shopping centers, (3) public transportation, (4) theatres, (5) video shops, (6) hospitals, (7) banks, (8) schools, and (9) at home. A total of 11,092 words were analyzed from the vocabularies of 24 school children and 30 adults. A database for word prediction was constructed using said data. When the user presses a noun symbol as an entry, a list of appropriate verbs is matched with the noun. The authors report that the system yielded favorable preliminary results.
Published by: Rehabilitation Engineering & Assistive Technology Society of North America (RESNA) (Website:http://www.resna.org)