语音与语言处理

Hacker News 上怎么说

• helwr · 2010 年

  《海量数据管理》（Managing Gigabytes，Witten）《信息检索导论》（Information Retrieval，Manning）《文本压缩》（Text Compression，Bell）《自然语言处理》（Natural Language Processing，Manning）《自然语言理解》（Natural Language Understanding，Allen）《语音与语言处理》（Speech and Language Processing，Jurafsky）《文本挖掘手册》（The Text Mining Handbook，Sanger）《统计机器翻译》（Statistical Machine Translation，Koehn）《基于MapReduce的大规模文本处理》（Data-Intensive Text Processing with MapReduce，Lin）《字符串算法》（Algorithms on strings，Gusfield）《字符串学珍宝》（Jewels of Stringology，Crochemore）……

  Managing Gigabytes (Witten) Information Retrieval (Manning) Text Compression (Bell) Natural Language Processing (Manning) Natural Language Understanding (Allen) Speech and Language Processing (Jurafsky) The Text Mining Handbook (Sanger) Statistical Machine Translation (Koehn) Data-Intensive Text Processing with MapReduce (Lin) Algorithms on strings (Gusfield) Jewels of Stringology (Crochemore)…

• danieldk · 2010 年

  这两本书真的强烈推荐：- Jurafsky 和 Martin 写的《语音与语言处理》（Speech and Language Processing）- Chris Manning 和 Hinrich Schütze 写的《统计自然语言处理基础》（Foundations of Statistical Natural Language Processing）它们合在一起为你提供了该领域极佳的全局视野，从 tokenization 到健壮的……

  These two books are really recommended: - Speech and Language Processing, Jurafsky and Martin - Foundations of Statistical Natural Language Processing, Chris Manning and Hinrich Schütze Together they provide a very good overview of the field, from tokenization to robust…

• danieldk · 2013 年

  Jurafsky 和 Martin 著的《语音与语言处理》（Speech and Language Processing）Manning 和 Schütze 著的《统计自然语言处理基础》（Foundations of Statistical Natural Language Processing）我不得不说，像你这样的评论真的很让人提不起劲继续写下去 ;)。

  Speech and Language Processing by Jurafsky and Martin Foundations of Statistical Natural Language Processing by Manning and Schütze I have to say comments like yours are not really encouraging to continue writing ;).

• kashifr · 2014 年

  ……墨菲（Murphy）写的《机器学习：概率视角》（Machine Learning: A Probabilistic Perspective）。想深入研究图模型可以看科勒（Koller）的《概率图模型：原理与技术》（Probabilistic Graphical Models: Principles and Techniques）。在NLP方面，有经典的权威教材：Jurafsky的《语音与语言处理》（Speech and Language Processing）以及Manning的《统计自然语言处理基础》（Foundations of Statistical Natural Language Processing）。此外我也喜欢James、Witten、Hastie和Tibshirani合著的《统计学习导论》（An Introduction to Statistical Learning）。

  …A Probabilistic Perspective" by Murphy. For more depth on graphical models look at "Probabilistic Graphical Models: Principles and Techniques" by Koller. On the NLP front there's the standard texts "Speech and Language Processing" by Jurafsky and "Foundations of Statistical Natural Language Processing" by Manning. I also like "An Introduction to Statistical Learning" by James, Witten, Hastie and Tibshirani.

• fantispug · 2020 年

  ……预测建模涵盖了大量的经典技术。对于单变量时间序列预测，《预测：方法与实践》（Forecasting Principles and Practice）非常棒。自然语言处理基础方面，Jurafsky的《语音与语言处理》（Speech and Language Processing）被广泛推荐；前沿的自然语言处理，斯坦福的 CS224n 课程极好：http://web.stanford.edu/class/cs224n/

  …Predictive modelling cover a lot of the classical techniques. For univariate time series forecasting "Forecasting Principles and Practice" is great. For natural language processing foundations Jurafsky's Speech and Language Processing is broadly recommended; for cutting edge natural language processing Stanford's CS224n is great: http://web.stanford.edu/class/cs224n/

• ngrandy · 2008 年

  解析命令这个问题有太多种切入方法了。如果你想找本扎实的计算语言学参考书，我推荐 jurafsky 等人写的《语音与语言处理》（speech and language processing），或者是《牛津计算语言学手册》（oxford handbook of computational linguistics）。最后，即将出版的那本信息检索的书（http://www-csli.stanford.edu/~hinrich/information-retrieval-...）也是部绝妙的……

  There are a ton of different ways to approach the problem of interpreting a command. if you're interested in a solid reference for computational linguistics, then i recommend either 'speech and language processing' by jurafsky et al or the 'oxford handbook of computational linguistics'. finally, the forthcoming information retrieval book (http://www-csli.stanford.edu/~hinrich/information-retrieval-...) is a fantastic…

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