This project is a natural language processor that works by
tokenizing the input and then matches the structure of the
tokens recognized to operations. It's easy to use and extend.
Most NLP engines employ machine learning to interpret the input.
This means they ship with binary files containing the data
describing what the engine understands. How does one modify
these binary files to add domain specific language to the
engine? SpeakToMe defines this information in code which makes
it quite easy to extend the vocabulary of the engine. Supports
the system asking questions of the user to clarify input. Allows
the user to define any number of variations of statements the
system can react to. This allows the developer to support
multiple ways of saying or asking for the same thing. Supports
asynchronous replies. In some situations, you’ll want to respond
to a user’s input by stating that a process is underway and then
later specify the actual response to the input. Please see the
documentation page for more informa