Natural Language Processing

开始时间: 04/22/2022 持续时间: Unknown

所在平台: CourseraArchive

课程类别: 计算机科学

大学或机构: Stanford University(斯坦福大学)

授课老师: Dan Jurafsky Christopher Manning


课程评论: 3 个评论

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This course covers a broad range of topics in natural language processing, including word and sentence tokenization, text classification and sentiment analysis, spelling correction, information extraction, parsing, meaning extraction, and question answering, We will also introduce the underlying theory from probability, statistics, and machine learning that are crucial for the field, and cover fundamental algorithms like n-gram language modeling, naive bayes and maxent classifiers, sequence models like Hidden Markov Models, probabilistic dependency and constituent parsing, and vector-space models of meaning.

We are offering this course on Natural Language Processing free and online to students worldwide, continuing Stanford's exciting forays into large scale online instruction. Students have access to screencast lecture videos, are given quiz questions, assignments and exams, receive regular feedback on progress, and can participate in a discussion forum. Those who successfully complete the course will receive a statement of accomplishment. Taught by Professors Jurafsky and Manning, the curriculum draws from Stanford's courses in Natural Language Processing. You will need a decent internet connection for accessing course materials, but should be able to watch the videos on your smartphone. 



The following topics will be covered in the first two weeks:

  1. Introduction and Overview:
  2. Basic Text Processing: J+M Chapters 2.1, 3.9; MR+S Chapters 2.1-2.2
  3. Minimum Edit Distance: J+M Chapter 3.11
  4. Language Modeling: J+M Chapter 4
  5. Spelling Correction: J+M Chapters 5.9, Peter Norvig (2007) How to Write a Spelling Corrector



课程图谱 2013-05-23 14:23 0 票支持; 0 票反对

这门课程的授课老师是斯坦福教授Dan Jurafsky和Christopher Manning,两位都是NLP领域的大大牛,其他不说,仅仅是他们写的书应该是很多NLPer的入门书:前者写了《自然语言处理综论》,后者写了《统计自然语言处理基础》


王利锋Fandy 2013-05-13 19:57 3 票支持; 0 票反对



yongsun 2013-05-13 01:34 2 票支持; 0 票反对



In this class, you will learn fundamental algorithms and mathematical models for processing natural language, and how these can be used to solve practical problems.


NLP 自然语音处理 自然语音处理入门 斯坦福自然语音处理 自然语言处理 自然语言处理入门 斯坦福自然语言处理 stanford 斯坦福大学



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