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自然语言处理的语法方法

Syntactic Approaches for Natural Language Processing
课程网址: http://videolectures.net/aibootcamp2011_sanchez_mnlp/  
主讲教师: Joan Andreu Sanchez
开课单位: 巴伦西亚科技大学
开课时间: 2011-03-31
课程语种: 英语
中文简介:
自然语言处理结合了来自不同研究领域的概念,如形式语言、语音识别、计算语言学和机器学习。本文描述了处理自然语言处理问题的句法方法。隐马尔可夫模型和概率上下文无关文法是NLP中常见的概念。本文还描述了这些模型的概率估计。
课程简介: Natural Language Processing combines concepts from different research fields, like Formal Languages, Speech Recognition, Computational Linguistics and Machine Learning. This talk describes syntactic approaches to deal with Natural Language Processing problems. Hidden Markov Models and Probabilistic Context Free Grammars are usual concepts in NLP. The probabilistic estimation of these models is also described in this talk.
关 键 词: 形式语言; 语音识别; 计算语言学
课程来源: 视频讲座网
最后编审: 2019-12-21:lxf
阅读次数: 89