会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 3. 发明申请
    • Large Scale Distributed Syntactic, Semantic and Lexical Language Models
    • 大规模分布式语法,语义和词汇语言模型
    • US20130325436A1
    • 2013-12-05
    • US13482529
    • 2012-05-29
    • Shaojun WangMing Tan
    • Shaojun WangMing Tan
    • G06F17/27G10L15/18
    • G06F17/2715G06F17/276G06F17/2785
    • 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.
    • 复合语言模型可以包括复合词预测器。 复合词预测器可以包括根据有向马尔科夫随机场组合的第一语言模型和第二语言模型。 复合词预测器可以基于第一组上下文和第二组上下文来预测下一个单词。 第一语言模型可以包括取决于第一组上下文的第一词预测器。 第二语言模型可以包括依赖于第二组上下文的第二词预测器。 复合模型参数可以通过收敛N最佳列表近似期望最大化算法和后续期望最大化算法的多次迭代确定,其中收敛N最佳列表近似期望最大化算法和随后的最优列表, 期望最大化算法从训练语料库中提取第一组上下文和第二组上下文。