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CICLING
2003
Springer

Experiments with Linguistic Categories for Language Model Optimization

9 years 3 months ago
Experiments with Linguistic Categories for Language Model Optimization
In this work1 we obtain robust category-based language models to be integrated into speech recognition systems. Deductive rules are used to select linguistic categories and to match words with categories. Statistical techniques are then used to build n-gram Language Models based on lexicons that consist of sets of categories. The categorization procedure and the language model evaluation were carried out on a taskoriented Spanish corpus. The cooperation between deductive and inductive approaches has proved efficient in building small, reliable language models for speech understanding purposes.
Arantza Casillas, Amparo Varona, Inés Torre
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where CICLING
Authors Arantza Casillas, Amparo Varona, Inés Torres
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