Editing Final Report 2012 (section)

=====2010=====
In the following year, Kevin Ramirez and Michael Lewis-Vassallo verified that the letters were indeed unlikely to be random by surveying a larger number of people to improve the accuracy of the letter frequency analysis, with both more sober and more drunk participants. They further investigated the idea that the letters represented an initialism, testing against a wider range of texts and taking sequences of letters from the code to do comparisons with. They discovered that the Rubaiyat had an intriguingly low match, suggesting that it was made that way intentionally. From this they proposed that the code was possibly an encoded initialism based on the Rubaiyat.

The main aim for the group in 2010 was to write a web crawler and text parsing algorithm that was generalised to be useful beyond the scope of the course. The text parser was able to take in a text or HTML file and find specific words and patterns within that file, and could be used to go through a large directory quickly. The web crawler was used to pass text directly from the internet to the text parser to be checked for patterns. Given the vast amount of data available on the internet, this made for a fast method for accessing a large quantity of raw text to be statistically analysed. This built upon an existing crawler, allowing the user to input a URL directly or a range of URLs from a text file, mirror the website text locally, then automatically run it through the text parsing software. <ref name= Final Report 2010> "Final Report 2010"; Lewis-Vassallo, M and Ramirez, K; https://www.eleceng.adelaide.edu.au/personal/dabbott/wiki/index.php/Final_report_2010</ref>