Super simple implementation of context-free regexps patterns matching algorithm.
No Machine Learning Algorithms or Neural Networks were harmed in the process.
Usage example:
import delta
d = delta.Delta()
d.load_dictionary('dictionary.xml')
output = d.parse('hello, world!')
print(output)Dictionary format:
<dictionary version="1.0">
<!-- dictionary is a set of entries, each with patterns and answers -->
<entry>
<!-- any pattern must match -->
<patterns>
<pattern>hello</pattern>
<pattern>good morning</pattern>
</patterns>
<!-- answer for the matched entry is selected RANDOMLY -->
<answers>
<answer>hi!</answer>
<answer>hello</answer>
</answers>
</entry>
</dictionary>Directory data contains some sample dictionaries, e.g. dictionary-test.xml.
Test bot: tg://delta_beta_bot