PyDial 3.0
The Python Multi-domain Statistical Dialogue System Toolkit
Welcome to the PyDial website. PyDial is an open-source end-to-end statistical spoken dialogue system toolkit which provides implementations of statistical approaches for all dialogue system modules. Moreover, it has been extended to provide multi-domain conversational functionality. It offers easy configuration, easy extensibility, and domain-independent implementations of the respective dialogue system modules.
PyDial is a scientific system developed for scientific purposes and actively used for research by the Dialogue Systems and Machine Learning Group at the Heinrich-Heine University, Düsseldorf. Although we put great effort into designing clean interfaces and easily understandable structures, some the code will not necessarily be up to commercial standards. As it is used actively for research, the code may also change in the future. However, the core intefaces have been designed in a way that there should not be any need to change them.
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To cite PyDial, please use the following paper:
@InProceedings{ultes2017pydial,
author = {Ultes, Stefan and Rojas Barahona, Lina M. and Su, Pei-Hao and Vandyke, David and Kim, Dongho and Casanueva, I\~{n}igo and Budzianowski, Pawe{\l} and Mrk\v{s}i\'{c}, Nikola and Wen, Tsung-Hsien and Gasic, Milica and Young, Steve},
title = {{PyDial: A Multi-domain Statistical Dialogue System Toolkit}},
booktitle = {Proceedings of ACL 2017, System Demonstrations},
month = {July},
year = {2017},
address = {Vancouver, Canada},
publisher = {Association for Computational Linguistics},
pages = {73--78},
url = {http://aclweb.org/anthology/P17-4013}
}