Augmented Auditory Representation of e-Texts for Text-to-Speech Systems
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
A Semantics-Based Communication System for Dysphasic Subjects
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
Compansion: From research prototype to practical integration
Natural Language Engineering
A new generation of communication aids under the ULYSSES component-based framework
Proceedings of the fifth international ACM conference on Assistive technologies
An Open Machine Translation System for Augmentative and Alternative Communication
ICCHP '02 Proceedings of the 8th International Conference on Computers Helping People with Special Needs
ACM Transactions on Accessible Computing (TACCESS)
Non-syntactic word prediction for AAC
SLPAT '12 Proceedings of the Third Workshop on Speech and Language Processing for Assistive Technologies
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The domain of Augmentative and Alternative Communication (AAC) studies appropriate techniques and systems that enhance or accomplish the retaining or non-existing abilities for interpersonal communication. Some AAC users apply telegraphic language, as they attempt to speed up the interactive communication or because they are language impaired. In many AAC aids, a "sentence" is formulated by combining symbols of an icon-based communication system. To be accepted by the communication partner, the output should be a correct oral sentence of a natural language. In this paper we present our effort to develop a novel technique for expanding spontaneous telegraphic input to well-formed Greek sentences, by adopting a feature-based surface realization for Natural Language generation. We first describe the general architecture of the system that accepts compressed, incomplete, grammatically and syntactically ill-formed text and produces a correct full sentence. The NLP techniques of the two main modules, named preprocessor and translator/ generator, are then analyzed. A prototype system has been developed using Component Based Technology (CBT) which is under field evaluation by a number of speech-disabled users. Currently it supports fully the BLISS and MAKATON icon based communication systems. Some limitations of the module are also discussed along with possibilities for future expansions.