License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/DagSemProc.05382.7
URN: urn:nbn:de:0030-drops-5165
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2006/516/
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Matiasek, Johannes

The language component of the FASTY predictive typing system

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05382.MatiasekJohannes.ExtAbstract.516.pdf (0.3 MB)


Abstract

I describe the language component of FASTY, a text prediction system designed to improve text input efficiency for disabled users. The FASTY language component is based on state-of-the-art n-gram-based word-level and Part-of-Speech-level prediction and on a number of innovative modules (morphological analysis, collocation-based prediction, compound prediction) that are meant to enhance performance in languages other
than English. Together with its modular architecture these novel techniques make it adaptable to a wide range of languages without sacrificing performance. Currently, versions for Dutch, German, French, Italian, and Swedish are supported.
Going beyond the FASTY system, it will also be shown that the language component can be easily extended for the use with reduced keyboards, just by defining key-mapping tables, without needing to change the dictionary or the language model.

BibTeX - Entry

@InProceedings{matiasek:DagSemProc.05382.7,
  author =	{Matiasek, Johannes},
  title =	{{The language component of the FASTY predictive typing system}},
  booktitle =	{Efficient Text Entry},
  pages =	{1--1},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{5382},
  editor =	{Karin Harbusch and Kari-Jouko Raiha and Kumiko Tanaka-Ishii},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2006/516},
  URN =		{urn:nbn:de:0030-drops-5165},
  doi =		{10.4230/DagSemProc.05382.7},
  annote =	{Keywords: AAC, Predictive Typing}
}

Keywords: AAC, Predictive Typing
Collection: 05382 - Efficient Text Entry
Issue Date: 2006
Date of publication: 19.04.2006


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