Editing Final Report/Thesis 2015 (section)

=====Programming Language Selection=====
The search engine was initially to be implemented via web application using developer tools such as Microsoft Visual Studio or Eclipse [14], for use with Microsoft's Web N-Gram Service.  The application could be programmed in native languages including Visual Basic, Visual C#, Visual C++, Visual F# and Jscript <ref>No Author. Visual Studio Languages [online]. Available: https://msdn.microsoft.com/en-us/library/vstudio/ee822860%28v=vs.100%29.aspx</ref>.  Instead, the programming language of Python was chosen to be used in conjunction with the Google N-Gram database through advice from Dr Berryman and due to its ease of use and efficiency with text processing.

Upon deciding to use the Google N-Gram database, a decision was to be made whether to purchase the University of Pennsylvania's Linguistic Data Consortium version or to obtain it for free directly from Google.  The Linguistic Data Consortium's version of the database was initially chosen as an alternative since it had the advantage of a concise and clean nature, with all total n-gram frequencies summed and collated.  Upon discussion with supervisor Dr. Berryman, it was decided that it was not worth purchasing the cleaned version of the database since we could extract the data we needed from the raw database and the outputs could be cleaned up easily enough through writing some simple codes in Python.  Due to this, it was decided that the database provided by Google was to be used for our purposes (See budget section for further details).