2008
DOI: 10.1145/1361203.1361209
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Sibylle, An Assistive Communication System Adapting to the Context and Its User

Abstract: In this article, we describe the latest version of Sibylle, an AAC system that permits persons who have severe physical disabilities to enter text with any computer application, as well as to compose messages to be read out through speech synthesis. The system consists of a virtual keyboard comprising a set of keypads that allow for the entering of characters or full words by a single-switch selection process. It also includes a sophisticated word prediction component which dynamically calculates the most appr… Show more

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Cited by 46 publications
(43 citation statements)
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References 27 publications
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“…The CVK (Figure 1) includes a word-prediction module that is based on SibySem, a context-sensitive prediction module that has been shown to reach state-of-the-art performance in French, English, and German [28]. This module is not based on a simple dictionary like standard commercial systems.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…The CVK (Figure 1) includes a word-prediction module that is based on SibySem, a context-sensitive prediction module that has been shown to reach state-of-the-art performance in French, English, and German [28]. This module is not based on a simple dictionary like standard commercial systems.…”
Section: Methodsmentioning
confidence: 99%
“…This characteristic allows the prediction to adjust dynamically to the current topic of interest. Experiments with participants have shown that the word-prediction system can achieve about 60 percent keystroke savings [28] when five predicted words are displayed at a time.…”
Section: Methodsmentioning
confidence: 99%
“…We introduce the N-gram model, a popular probabilistic language model, into predictive math entry. An N-gram model is usually used for predictive text entry in the research area of Augmentative and Alternative Communication (AAC) [14,15]. Reactive Keyboard is a typical study of word prediction using an N-gram model for AAC [5].…”
Section: Related Workmentioning
confidence: 99%
“…One example is a row-column scanning keyboard where the computer suggests first the row, and then the column within the row, of a character in a two-dimensional matrix. These systems (e.g., [5,6]) typically do not make full use of the physical capabilities of an FA patient (who can employ both hands, for example). So, input is unnecessarily cumbersome, resulting in a very low input rate.…”
Section: Literature Reviewmentioning
confidence: 99%