Implementation of Natural Language Understanding
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system_mockup/analizator_jezyka_naturalnego.py
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system_mockup/analizator_jezyka_naturalnego.py
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import re
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def analizator_jezyka_naturalnego(text):
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hello = ['dzie[ńn] dobry', 'dobry wiecz[oó]r', 'witam', 'witaj', 'siema', 'elo', 'cze[śs][ćc]']
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request_name = ['imi[eę]', 'nazywasz']
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question = ['\?$']
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acts = {'hello': [hello],
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'request(name)': [request_name, question]}
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text = text_preprocess(text)
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frame = act_check(text)
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return frame
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def text_preprocess(text):
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text = text.lower()
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return text
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def act_check(text):
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frame = []
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for act, requirements in acts.items():
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req = [check_synonyms(synonyms, text) for synonyms in requirements]
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if all(req):
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frame.append(act)
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return frame
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def check_synonyms(synonyms, text):
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for expression in synonyms:
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match = re.search(expression, text)
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if match:
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return True
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return False
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system_mockup/generator_jezyka_nautalnego.py
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system_mockup/generator_jezyka_nautalnego.py
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def generator_jezyka_nautalnego():
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pass
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system_mockup/monitor_stanu_dialogowego.py
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system_mockup/monitor_stanu_dialogowego.py
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def monitor_stanu_dialogowego():
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pass
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system_mockup/system_dialogowy.py
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system_mockup/system_dialogowy.py
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from analizator_jezyka_naturalnego import analizator_jezyka_naturalnego
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from monitor_stanu_dialogowego import monitor_stanu_dialogowego
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from taktyka_dialogu import taktyka_dialogu
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from generator_jezyka_nautalnego import generator_jezyka_nautalnego
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def main():
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text = input('>>>')
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frame = analizator_jezyka_naturalnego(text)
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monitor_stanu_dialogowego(frame)
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taktyka_dialogu()
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generator_jezyka_nautalnego()
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if __name__ == '__main__':
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main()
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system_mockup/taktyka_dialogu.py
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system_mockup/taktyka_dialogu.py
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def taktyka_dialogu():
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pass
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