TextRunner Search
http://www.cs.washington.edu/research/textrunner/

TextRunner extracts information from billions of lines of text by analyzing basic relationships between words.

This package determines important terms within a given piece of content. It uses linguistic tools such as Parts-Of-Speech (POS) and some simple statistical analysis to determine the terms and their strength.

Term extraction and POS tagging in Python. Wonder how well the POS tagger performs.

Content Term Extraction using POS Tagging This package determines important terms within a given piece of content. It uses linguistic tools such as Parts-Of-Speech (POS) and some simple statistical analysis to determine the terms and their strength.

Preziosissima risorsa.

This book is on applications of logic in the semantic analysis of language.

Artificial Intelligence | Natural Language Processing

Natural Language/Artificial Intelligence Lectures

-MeCabの辞書にはてなキーワードを追加しよう - 不可視点 http://j.mp/9SnTxA

http://d.hatena.ne.jp/rin1024/20090830/1251608698

naist-jdic 辞書ファイルの指定方法

As you can see, the process of checking spellings and suggesting corrections is not an exact science, but there\'s no denying that it has made our lives a little easier and our publications a little less unpredictable.

http://news.ycombinator.com/item?id=745537