首页>
外国专利>
Large Scale Distributed Syntactic, Semantic and Lexical Language Models
Large Scale Distributed Syntactic, Semantic and Lexical Language Models
展开▼
机译:大规模分布式句法,语义和词汇语言模型
展开▼
页面导航
摘要
著录项
相似文献
摘要
A composite language model may include a composite word predictor. The composite word predictor may include a first language model and a second language model that are combined according to a directed Markov random field. The composite word predictor can predict a next word based upon a first set of contexts and a second set of contexts. The first language model may include a first word predictor that is dependent upon the first set of contexts. The second language model may include a second word predictor that is dependent upon the second set of contexts. Composite model parameters can be determined by multiple iterations of a convergent N-best list approximate Expectation-Maximization algorithm and a follow-up Expectation-Maximization algorithm applied in sequence, wherein the convergent N-best list approximate Expectation-Maximization algorithm and the follow-up Expectation-Maximization algorithm extracts the first set of contexts and the second set of contexts from a training corpus.
展开▼