无监督学习的句法结构Unsupervised Learning of Syntactic Structure |
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课程网址: | http://videolectures.net/mlcs07_manning_uls/ |
主讲教师: | Chris Manning |
开课单位: | 斯坦福大学 |
开课时间: | 2007-10-31 |
课程语种: | 英语 |
中文简介: | 概率语言模型。 “每个人都知道语言是可变的”,萨皮尔(Sapir,1921)。概率模型给出了变量,不确定世界的精确描述。语言的选择不是规则和神经网络之间的二分法。概率模型可用于丰富的语言表示。他们支持推理和学习。没有太多证据表明刺激措施的贫困使他们无法使用。 |
课程简介: | Probabilistic models of language. ''Everybody knows that language is variable'' - Sapir (1921). \\ Probabilistic models give precise descriptions of a variable, uncertain world. The choice for language isn’t a dichotomy between rules and neural networks. Probabilistic models can be used over rich linguistic representations. They support inference and learning. There’s not much evidence of a poverty of the stimulus preventing them being used. |
关 键 词: | 语言; 概率模型; 神经网络 |
课程来源: | 视频讲座网 |
最后编审: | 2019-06-30:yuh |
阅读次数: | 37 |