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 <h2>The Python Multi-domain Statistical Dialogue System Toolkit<a class="headerlink" href="#welcome" title="Permalink to this headline"></a></h2>
 <p>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.</p>
 <p>PyDial is a scientific system developed for scientific purposes and actively used for research by the <a href="https://www.cs.hhu.de/lehrstuehle-und-arbeitsgruppen/dialog-systems-and-machine-learning.html" target=_blank>Dialogue Systems and Machine Learning Group</a> 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.</p>
+<p>PyDial was originally developed by the Dialogue Systems Group at Cambridge University Engineering Department (CUED).</p>
 <!-- <p>The toolkit will be made available soon. In the meantime, have a look at the <a href="Docs/">tutorials and documentation</a>.</p> -->
 <!--<p>To get started, <a href="cu-pydial.zip">download</a> the toolkit, have a look at the README for instructions to get it running and / or have a look at the <a href="Docs/">tutorials and documentation</a>. The final relsease will be made directly accessible through a git repository.</p>-->
 <p>To stay up to date, <a href="https://groups.google.com/forum/#!forum/pydial/join" target=_blank>sign up to our mailing list</a>.