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Published in:
2007 | OriginalPaper | Chapter
Language Modeling with Linguistic Cluster Constraints
Authors : Frederick Jelinek, Jia Cui
Published in: Text, Speech and Dialogue
Publisher: Springer Berlin Heidelberg
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In the past, Maximum Entropy based language models were constrained by training data n-gram counts, topic estimates, and triggers. We will investigate the obtainable gains from imposing additional constraints related to linguistic clusters, such as parts of speech, semantic/syntactic word clusters, and semantic labels. It will be shown that there substantial profit is available provided the estimates use Gaussian a priori statistics.