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<!doctype html>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="chrome=1">
<title>Quillpad-server by CognirelTech</title>
<link rel="stylesheet" href="stylesheets/styles.css">
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</head>
<body>
<div class="wrapper">
<header>
<h1 class="header">Quillpad-server</h1>
<p class="header">Quillpad Server</p>
<ul>
<li class="download"><a class="buttons" href="https://github.com/CognirelTech/Quillpad-Server/zipball/master">Download ZIP</a></li>
<li class="download"><a class="buttons" href="https://github.com/CognirelTech/Quillpad-Server/tarball/master">Download TAR</a></li>
<li><a class="buttons github" href="https://github.com/CognirelTech/Quillpad-Server">View On GitHub</a></li>
</ul>
<p class="header">This project is maintained by <a class="header name" href="https://github.com/CognirelTech">CognirelTech</a></p>
</header>
<section>
<h1>
<a id="quillpad-transliteration-server" class="anchor" href="#quillpad-transliteration-server" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Quillpad Transliteration Server</h1>
<p>Quillpad is an indic language input technology that revolutionized the Indian language typing scene. It is one of the most popular Indic input technologies with more than a billion words typed on the website alone.</p>
<blockquote>
<p>Quillpad pioneered the successful use of machine learning for
building a predictive language input technology.
Quillpad has been rated as the best by many organisations that have embraced Quillpad.</p>
</blockquote>
<h3>
<a id="version" class="anchor" href="#version" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Version</h3>
<p>1.0.1</p>
<h3>
<a id="preparation" class="anchor" href="#preparation" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Preparation</h3>
<p>There are several archive files in the repository which have to be extracted, these include trained transliteration models and additional text files necessary for the Quillpad Server</p>
<ul>
<li> CherryPy-3.2.2.tar.gz</li>
<li> EnglishPronouncingTrees.tar.bz2</li>
<li> IndianPronouncingTrees.tar.bz2</li>
<li> additional_text_files.zip</li>
<li> bengali.tar.bz2</li>
<li> gujarati.tar.bz2</li>
<li> hindi.tar.bz2</li>
<li> kannada.tar.bz2</li>
<li> malayalam.tar.bz2</li>
<li> marathi.tar.bz2</li>
<li> nepali.tar.bz2</li>
<li> punjabi.tar.bz2</li>
<li> tamil.tar.bz2</li>
<li> telugu.tar.bz2</li>
<li>
<p>unique_word_files.zip</p>
<p><strong>Kindly extract all of these archives into the repository folder itself.</strong></p>
</li>
</ul>
<h3>
<a id="installation" class="anchor" href="#installation" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Installation</h3>
<p>Quillpad Server requires <a href="https://www.python.org/downloads/">Python 2.7</a> to run.</p>
<p>First, we need to compile the Quillpad Model loader that will be used to load the trained transliteration models</p>
<div class="highlight highlight-source-shell"><pre> $ <span class="pl-c1">cd</span> Python<span class="pl-cce">\ </span>Cart/python
$ python setup.py build_ext --inplace
$ cp QuillCCart.so ../../
$ <span class="pl-c1">cd</span> ../../</pre></div>
<p>Now, the Quillpad Server is ready to run</p>
<div class="highlight highlight-source-shell"><pre> $ python startquill_cherry.py</pre></div>
<p>### Additional Information</p>
<ul>
<li><p>Quillpad runs on port number 8090 (Additional configuration parameters are in <em>quill_cherry8088.conf</em>)</p></li>
<li>
<p><em>processWordJSON</em> and <em>processWord</em> are the API endpoints over which the transliteration server can be accessed.</p>
<blockquote>
<p>Example:</p>
</blockquote>
<ul>
<li>localhost:8090/processWordJSON?inString=hello&lang=hindi</li>
<li>localhost:8090/processWordJSON?inString=hello&lang=kannada</li>
</ul>
</li>
</ul>
</section>
<footer>
<p><small>Hosted on <a href="https://pages.github.com">GitHub Pages</a> using the Dinky theme</small></p>
</footer>
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