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Hellenic Conference on Artificial Intelligence

SETN 2002: Methods and Applications of Artificial Intelligence pp 155–166Cite as

Transforming Spontaneous Telegraphic Language to Well-Formed Greek Sentences for Alternative and Augmentative Communication

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2308))

Abstract

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.

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Author information

Authors and Affiliations

  1. Department of Informatics and Telecommunications, University of Athens, Panepistimiopolis, Ilisia, Athens, Greece

    Georgios Karberis & Georgios Kouroupetroglou

Authors
  1. Georgios Karberis
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  2. Georgios Kouroupetroglou
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Editor information

Editors and Affiliations

  1. Dept. of Informatics, Aristotle University of Thessaloniki, 54006, Thessaloniki, Greece

    Ioannis P. Vlahavas

  2. N.C.S.R. “Demokritos”, Inst. of Informatics & Telecommunications Software and Knowledge Engineering Lab, 15310, Aghia Paraskevi, Greece

    Constantine D. Spyropoulos

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© 2002 Springer-Verlag Berlin Heidelberg

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Karberis, G., Kouroupetroglou, G. (2002). Transforming Spontaneous Telegraphic Language to Well-Formed Greek Sentences for Alternative and Augmentative Communication. In: Vlahavas, I.P., Spyropoulos, C.D. (eds) Methods and Applications of Artificial Intelligence. SETN 2002. Lecture Notes in Computer Science(), vol 2308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46014-4_15

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  • DOI: https://doi.org/10.1007/3-540-46014-4_15

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43472-6

  • Online ISBN: 978-3-540-46014-5

  • eBook Packages: Springer Book Archive

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