2. GIZA++ (Statistical Machine Translation)
http://www.fjoch.com/GIZA++.html
GIZA++ is an extension of the program GIZA (part of the SMT toolkit EGYPT) which was developed by the Statistical Machine Translation team during the summer workshop in 1999 at the Center for Language and Speech Processing at Johns-Hopkins University (CLSP/JHU). GIZA++ includes a lot of additional features. The extensions of GIZA++ were designed and written by Franz Josef Och.
Franz Josef Och先后在德国Aachen大学，ISI(南加州大学信息科学研究所)和Google工作。GIZA++现已有Windows移植版本，对IBM 的model 1-5有很好支持。

3. PHARAOH (Statistical Machine Translation)
http://www.isi.edu/licensed-sw/pharaoh/
a beam search decoder for phrase-based statistical machine translation models

4. OpenNLP:
http://opennlp.sourceforge.net/
包括Maxent等20多个工具

btw: 这些SMT的工具还都喜欢用埃及相关的名字命名，像什么GIZA、PHARAOH、Cairo等等。Och在ISI时开发了GIZA++，PHARAOH也是由来自ISI的Philipp Koehn 开发的，关系还真是复杂啊

5. MINIPAR by Dekang Lin (Univ. of Alberta, Canada)
MINIPAR is a broad-coverage parser for the English language. An evaluation with the SUSANNE corpus shows that MINIPAR achieves about 88% precision and 80% recall with respect to dependency relationships. MINIPAR is very efficient, on a Pentium II 300 with 128MB memory, it parses about 300 words per second.
binary填一个表后可以免费下载
http://www.cs.ualberta.ca/~lindek/minipar.htm

6. WordNet
http://wordnet.princeton.edu/
WordNet is an online lexical reference system whose design is inspired by current psycholinguistic theories of human lexical memory. English nouns, verbs, adjectives and adverbs are organized into synonym sets, each representing one underlying lexical concept. Different relations link the synonym sets.
WordNet was developed by the Cognitive Science Laboratory at Princeton University under the direction of Professor George A. Miller (Principal Investigator).
WordNet最新版本是2.1 (for Windows & Unix-like OS)，提供bin, src和doc。
WordNet的在线版本是http://wordnet.princeton.edu/perl/webwn

9. SRI Language Modeling Toolkit
www.speech.sri.com/projects/srilm/
SRILM is a toolkit for building and applying statistical language models (LMs), primarily for use in speech recognition, statistical tagging and segmentation. It has been under development in the SRI Speech Technology and Research Laboratory since 1995.

11. GATE (General Architecture for Text Engineering)
http://gate.ac.uk/
A Java Library for Text Engineering

3. SVM Light
由cornell的Thorsten Joachims在dortmund大学时开发，成为LibSVM之后最为有名的SVM软件包。开源，用C语言编写，用于ranking问题
http://svmlight.joachims.org/

5. CRF++
http://chasen.org/~taku/software/CRF++/
Yet Another CRF toolkit for segmenting/labelling sequential data
CRF(Conditional Random Fields)，由HMM/MEMM发展起来，广泛用于IE、IR、NLP领域

IV. Misc:
1. Notepad++: 一个开源编辑器，支持C#，perl，CSS等几十种语言的关键字，功能可与新版的UltraEdit，Visual Studio .NET媲美
http://notepad-plus.sourceforge.net

2. WinMerge: 用于文本内容比较，找出不同版本的两个程序的差异
winmerge.sourceforge.net/

3. OpenPerlIDE: 开源的perl编辑器，内置编译、逐行调试功能
open-perl-ide.sourceforge.net/
ps: 论起编辑器偶见过的最好的还是VS .NET了，在每个function前面有+/-号支持expand/collapse，支持区域copy/cut/paste，使用ctrl+ c/ctrl+x/ctrl+v可以一次选取一行，使用ctrl+k+c/ctrl+k+u可以comment/uncomment多行，还有还有...... Visual Studio .NET is really kool:D

4. Berkeley DB
http://www.sleepycat.com/
Berkeley DB不是一个关系数据库，它被称做是一个嵌入式数据库：对于c/s模型来说，它的client和server共用一个地址空间。由于数据库最初是从文件系统中发展起来的，它更像是一个key-value pair的字典型数据库。而且数据库文件能够序列化到硬盘中，所以不受内存大小限制。BDB有个子版本Berkeley DB XML，它是一个xml数据库：以xml文件形式存储数据？BDB已被包括microsoft、google、HP、ford、motorola等公司嵌入到自己的产品中去了
Berkeley DB (libdb) is a programmatic toolkit that provides embedded database support for both traditional and client/server applications. It includes b+tree, queue, extended linear hashing, fixed, and variable-length record access methods, transactions, locking, logging, shared memory caching, database recovery, and replication for highly available systems. DB supports C, C++, Java, PHP, and Perl APIs.
It turns out that at a basic level Berkeley DB is just a very high performance, reliable way of persisting dictionary style data structures - anything where a piece of data can be stored and looked up using a unique key. The key and the value can each be up to 4 gigabytes in length and can consist of anything that can be crammed in to a string of bytes, so what you do with it is completely up to you. The only operations available are "store this value under this key", "check if this key exists" and "retrieve the value for this key" so conceptually it's pretty simple - the complicated stuff all happens under the hood.
case study:
Ask Jeeves uses Berkeley DB to provide an easy-to-use tool for searching the Internet.
Microsoft uses Berkeley DB for the Groove collaboration software
AOL uses Berkeley DB for search tool meta-data and other services.
Hitachi uses Berkeley DB in its directory services server product.
Ford uses Berkeley DB to authenticate partners who access Ford's Web applications.
Hewlett Packard uses Berkeley DB in serveral products, including storage, security and wireless software.
Google uses Berkeley DB High Availability for Google Accounts.
Motorola uses Berkeley DB to track mobile units in its wireless radio network products.