Sep
29
2011
Our posts this month will focus on some of the technical capabilities of the Project Turing software. As the software matches patterns, the variety found in English are worth looking at in more detail. Today's video shows an example from the development web site, dev.thinkingsolutions.co, in which one of this month's examples is showcased.
The purpose of language comprehension software is to match the words used within their logical phrases and also match the correct word sense, or meaning, within the phrases. While the current focus around the world seems to be to look for statistical matches within large texts to determine meaning statistically, our approach is to enter patterns into the software and allow pattern matching to be done independently by the software.
We think with our movement back to "hand-coded" patterns – an approach last seen seriously about 20 years ago – the future looks bright. By taking this approach, and considering a future in which experience populates individual dictionaries automatically, we envisage machines working with people that converse, learn and interact in natural ways. But that is getting ahead of ourselves; for the moment we are focused on creating an intelligent dictionary that provides the framework for future machines by finalizing a system that works to comprehend human language.
Have a look at today's video to see an online example being dissected.