Abstract
This study proposes and develops a novel Augmentative & Alternative Communication (AAC) system which improves the verbal communication of speech disordered people. The success of AAC systems is largely determined by two factors: the selection of vocabularies appropriate to the occasions and the efficient utilization of limited display space in AAC systems. To meet the two vital requirements, vocabulary databases are built and embedded into our AAC system, thus the context-aware predicate prediction and the particle use in generated sentences even in a limited display space are feasible. We construct the databases by collecting utterances in everyday life dialogues by recording, sorting frequently used vocabularies, and applying semantic and lexical interpretation.
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© 2006 Springer-Verlag Berlin Heidelberg
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Lee, E., Nam, D., Kim, Y., Hur, T., Woo, Y., Min, H. (2006). Verb Prediction and the Use of Particles for Generating Sentences in AAC System. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_111
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DOI: https://doi.org/10.1007/11941439_111
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49787-5
Online ISBN: 978-3-540-49788-2
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