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Published in:
2003 | OriginalPaper | Chapter
Performance and Improvements of a~Language Model Based on Stochastic Context-Free Grammars
Authors : José García-Hernandez, Joan Andreu Sánchez, José Miguel Benedí
Published in: Pattern Recognition and Image Analysis
Publisher: Springer Berlin Heidelberg
Included in: Professional Book Archive
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This paper describes a hybrid language model defined as a combination of a word-based n-gram, which is used to capture the local relations between words, and a category-based SCFG with a word distribution into categories, which is defined to represent the long-term relations between these categories. Experiments on the UPenn Treebank corpus are reported. These experiments have been carried out in terms of the test set perplexity and the word error rate in a speech recognition experiment.