Vietnamese Language Processing

http://vlsp.vietlp.org:8080/demo/?page=home

It's amazing! But I've not checked their quality yet. Will do ASAP.

RandLM - the randomised language modelling toolkit

Link: http://sourceforge.net/projects/randlm/

Reference:
1) David Talbot and Miles Osborne. Smoothed Bloom filter language models: Tera-Scale LMs on the Cheap. EMNLP, Prague, Czech Republic 2007.
2) David Talbot and Miles Osborne. Randomised Language Modelling for Statistical Machine Translation. ACL, Prague, Czech Republic 2007.

NLP with Python

Book: http://www.nltk.org/book
Toolkit: http://code.google.com/p/nltk/

Precision Translation Tools

http://precisiontranslationtools.com/ - the new source for Statistical Machine Translation (SMT) tools and resources.

NLP News

http://nlp.hivefire.com/

This site synthesizes news in Natural Language Processing (NLP) from various sources (webs, blogs) around the world. It's great!

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Vu

OpenCog - The Open Cognition Project

Link: http://wiki.opencog.org/w/The_Open_Cognition_Project

OpenCog - an open source Artificial General Intelligence framework, intended to one day express general intelligence at the human level and beyond.

A little bit ambitious?

RelEx Dependency Relationship Extractor

Link: https://launchpad.net/relex/

Documentation: http://wiki.opencog.org/w/RelEx

RelEx is an English-language dependency relationship extractor, built on the Carnegie-Mellon link parser. It can identify subject, object, indirect object and many other dependency relationships between words in a sentence. It also generates some advanced semantic relations, such as normalizing questions for question-answering. It also proposes "frames" or "semantic roles", similar in style to those of FrameNet. RelEx includes a basic implementation of the Hobbs anaphora (pronoun) resolution algorithm. As a "by-product", it also provides more basic functions, including entity detection, part-of-speech tagging, noun-number tagging, verb tense tagging, gender tagging, and so on. Relex now includes a Stanford parser compatibility mode, generating identical output, but more accurately and more quickly.