N-gram tools

1) http://homepages.inf.ed.ac.uk/lzhang10/ngram.html

2) Google Web N-gram
2a) Google Web N-gram Viewer: http://ngrams.googlelabs.com/
2b) Google Web N-gram Patterns: http://n-gram-patterns.sourceforge.net/

3) Microsoft Web N-gram: http://web-ngram.research.microsoft.com/info/

4) N-gram Statistics Package: http://ngram.sourceforge.net/

5) CMU Language Modeling Toolkit (version 2): http://www.speech.cs.cmu.edu/SLM/toolkit.html

6) N-gram Extraction Tools: http://homepages.inf.ed.ac.uk/lzhang10/ngram.html

Tools for corpus statistics

Thanks to Corpora-List member, I compiled the following list of tools for corpus statistics:

1) TMX software: https://sourceforge.net/projects/textometrie

2) R: www.r-project.org

With books accompanied:

http://www.amazon.com/dp/3110205645
http://www.amazon.com/dp/0415962706

3) Lexico3: http://www.tal.univ-paris3.fr/lexico/lexico3.htm (seemingly a commercial tool)

4) TBA

If you know others, please let me know!

--
Cheers,
Vu

Relax about coding

http://www.scribd.com/doc/38648591/About-Coders-new-version

C++ STL with UTF-8

Portable Library
http://utfcpp.sourceforge.net/
https://sourceforge.net/projects/utfcpp

Conversion Tool
http://www.gnu.org/software/libiconv/

Articles
http://www.codeproject.com/KB/stl/upgradingstlappstounicode.aspx
http://www.codeproject.com/KB/stl/utf8facet.aspx
http://www.cplusplus.com/forum/beginner/7233/

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Cheers,
Vu

GeoWordNet

http://geowordnet.semanticmatching.org/

NLP Tools (links from Caroline Sporleder)

http://www.coli.uni-saarland.de/~csporled/page.php?id=tools

Summarizing contents across websites in the Internet

Summarizing contents across websites in the Internet:

http://www.iresearch-reporter.com/
http://ultimate-research-assistant.com/

The summary quality of the above systems is not actually good (i think). One possible improvement is to focus mainly on summarizing contents from research papers which contain very useful and detailed technical materials. It could be regarded to "Related Work Summarization" (see my paper at here).

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Cheers,
Vu