Adaptive word prediction and its application in an assistive communication system

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Dokumentart: PhDThesis
Date: 2009
Language: English
Faculty: 5 Philosophische Fakultät
Department: Allgemeine u. vergleichende Sprachwissenschaft
Advisor: Mönnich, Uwe (Prof. Dr.) / Antoine, Jean-Yves (Professeur)
Day of Oral Examination: 2008-10-22
DDC Classifikation: 400 - Language and Linguistics
Keywords: Linguistische Datenverarbeitung , Kommunikationshilfe , Alternative Kommunikation , Adaptives Verfahren , Semantische Modellierung
Other Keywords: Wordprädiktion , Statistische Sprachmodellierung , Latent-Semantische Analyse
Augmentative and alternative communication , Word prediction , Statistical language modelling , Latent Semantic Analysis
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This thesis investigates the capacities of adaptive methods for word prediction. We present and evaluate several adaptation methods: First, we consider strategies enabling to adapt to the lexical and syntactic preferences of the user of an AAC system. Here we investigate the cache model, an auto-adaptive user lexicon and the dynamic user model (DUM), which integrates every input of the user. The second class of methods aims to adapt to the semantic context. Here we focus in particular on Latent Semantic Analysis (LSA), a vectorial model establishing semantic similarity from distributional properties. In the last part an assistive communication system is presented that implements the previously investigated adaptation methods. After a description of the user interface we report results from the application of this system in a rehabilitation center.

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