International Conference on Artificial Intelligence, United States Of America, 01 July 2010, pp.881-887
Turkish is one of the widely used and relatively difficult natural language for machine processing. One of the challenges in Turkish is the temporal logic and processing the time of events.
For the Latin family natural languages, there are quite successful solutions like TimeML which is built on the Reichenbach tense analysis and Allen‟s temporal logic. Unfortunately, there is no previous work on Turkish languages up until now.
This paper covers the basic temporal models of Reichenbach and Allen and then proceeds to the improvement of these models to cover temporal logic behind Turkish natural language.
In order to test the success of this study, we have also created a corpus from child stories and tested the success of new implementation.