Iterative Language Model Estimation: Efficient Data Structure & Algorithms
INTERSPEECH 2008: 9TH ANNUAL CONFERENCE OF THE INTERNATIONAL SPEECH COMMUNICATION ASSOCIATION 2008, VOLS 1-5(2008)
摘要
Despite the availability of better performing techniques, most language models are trained using popular toolkits that do not support perplexity optimization. In this work, we present an ef- ficient data structure and optimized algorithms specifically de- signed for iterative parameter tuning. With the resulting imple- mentation, we demonstrate the feasibility and effectiveness of such iterative techniques in language model estimation. Index Terms: language modeling, smoothing, interpolation
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关键词
language model,data structure,indexing terms
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