<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ninus Khamis</style></author><author><style face="normal" font="default" size="100%">René Witte</style></author><author><style face="normal" font="default" size="100%">Juergen Rilling</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Generating an NLP Corpus from Java Source Code: The SSL Javadoc Doclet</style></title><secondary-title><style face="normal" font="default" size="100%">New Challenges for NLP Frameworks</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">NLP</style></keyword><keyword><style  face="normal" font="default" size="100%">NLP Components</style></keyword><keyword><style  face="normal" font="default" size="100%">Software Engineering</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2010</style></year><pub-dates><date><style  face="normal" font="default" size="100%">May 22</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.lrec-conf.org/proceedings/lrec2010/workshops/W10.pdf</style></url></web-urls><related-urls><url><style face="normal" font="default" size="100%">http://www.semanticsoftware.info/system/files/nlpf2010-ssldoclet.pdf</style></url></related-urls></urls><publisher><style face="normal" font="default" size="100%">ELRA</style></publisher><pub-location><style face="normal" font="default" size="100%">Valletta, Malta</style></pub-location><pages><style face="normal" font="default" size="100%">41--45</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Source code contains a large amount of natural language text, particularly in the form of comments, which makes it an emerging target of text analysis techniques. Due to the mix with program code, it is difficult to process source code comments directly within NLP frameworks such as GATE. Within this work we present an effective means for generating a corpus using information found in source code and in-line documentation, by developing a custom doclet for the Javadoc tool. The generated corpus uses a schema that is easily processed by NLP applications, which allows language engineers to focus their efforts on text analysis tasks, like automatic quality control of source code comments. The SSLDoclet is available as open source software.</style></abstract><custom1><style face="normal" font="default" size="100%">Copyright © 2010 Ninus Khamis, Juergen Rilling, and René Witte. All rights reserved.</style></custom1></record></records></xml>
