Ruiqiang Zhang
Language Modeling and Statistical Machine
Translation
Abstract:Two parts are contained in this report. The first is to report the latest results
of language modeling in speech recognition. Detailed information including local
N-gram, long distance constraints and linguistic question triggers are integrated in
language models by maximum entropy approach. The experimental results prove
our models are effective. The second is to discuss our statistical Ngram translation
model. Perplexity test was made to evaluate effectiveness of the proposed Ngram
translation models.