1. Chinese Firewall Update Leif Guillermo, Veronika Strnadova This material is based upon work supported by the National Science Foundation under Grant No. IIS/REU/0755462. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

2. Chinese Firewall Update Overview Long-term goal The Present Situation Development up to present Potential Alternatives 'What To Do' http://chinadigitaltimes.net/wp-content/uploads/2008/07/great_firewall.jpg

3. Overview Want:  An extensive list of possibly blacklisted keywords  A better understanding of the GFC and internet censorship. Method(s):  Chinese Character Phonological Similarities  Chinese Character Recognition

4. Long-term goal The goal is to create an extensive list of possibly blacklisted keywords Manual Labor vs. Automation with Adaptation The Chinese Firewall, Censorship, and you

5. The Present Situation Reaching Out  We've spoken with one professor and are scheduled to speak with others Currently Working on Phonology  Mappings: Character->Sound Sound->Character  Permutations Character recognition still a go  Image Feature Extraction  SVD http://www.itanlp.com/images/NLPdiag.gif

6. Mapping Example http://www.ofoghlu.net/log/Lanet-vi-Internet-Map.jpg

7. Development up to present We've read some good papers The Time Course of Graphic, Phonological, and Semantic Activation in Chinese Character Identification. Charles A. Perfetti and Li Hai Tan. Journal of Experimental Psychology: Learning Memory, and Cognition 1998, Vol. 24, No. 1, 101-118 Uncalibrated Stereo Correspondence by Singular Value Decomposition. Maurizio Pilu. Digital Media Department. HP Laboratories Bristol. HPL-97-96. August, 1997 Originally wanted CCR, ended up with CPAs Original CCR method should still be useful

8. Potential Alternatives Phonetic Alignment and Similarity  Could be more rigorous than the current phonological method but need to do more research. Gabor Filters on different parts of Chinese Characters.  Could potentially be as accurate if not more accurate than Feature Extraction.  Possibly not what we want.  Complicated, and very math intensive.

9. 'What to do' Currently:  Graphical Phonological Mappings are almost done. Next Step:  Create an algorithm to generate possible word permutations. Tasks:  Veronika is working on the permutation algorithm. I've been dealing with the mappings. We've both been reading/gathering information. Anyone want to recommend one or several strategies?