https://linguisticsweb.org/ 2026-04-28T16:16:56+00:00 https://linguisticsweb.org/ https://linguisticsweb.org/lib/tpl/starter/images/favicon.ico text/html 2020-10-01T12:23:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:frameworks:conll_2003&rev=1601547811&do=diff CoNLL-2003 Shared Task: Named Entity Recognition Introduction Creating the CoNLL training and test files To create the CoNLL-2003 training and test files for machine learning, you have to download the annotation files from the Shared Task's webpage. You furthermore need the text/html 2020-10-01T12:23:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:frameworks:dkpro&rev=1601547811&do=diff DKPro Installation and User How-to tutorial status: in progress NOTE: DKPro has been superseeded by INCEpTION Important URLs: * DKPRo Darmstadt Knowledge Processing Repository * DKPro Core * DKPRo Core-asl google-code project pages text/html 2020-10-01T12:23:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:frameworks:gate&rev=1601547811&do=diff An introduction into General Architecture for Text Engineering (GATE) 1 About this Tutorial This tutorial provides simple instructions on how to set up GATE and introduces some of the basic functionalities of the software. It is specifically targeted at beginner users using Windows, but most information is relevant for other operating systems as well. You can find further information on extensive features of the Gate architecture in the Gate text/html 2020-10-01T12:23:31+00:00 Anonymous (anonymous@undisclosed.example.com) https://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:frameworks:nltk&rev=1601547811&do=diff The Natural Language Toolkit (NLTK) linguisticsweb.org tutorial status: in progress The Natural Language Toolkit (NLTK) is a set of modules enhancing the natural language processing capabilities of the programming language Python. It is extremely useful for at least two reasons: it encourages linguists to learn programming and it is easy to learn. text/html 2020-10-01T12:23:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:frameworks:stanfordcorenlp&rev=1601547812&do=diff Stanford CoreNLP Stanford CoreNLP Stanford CoreNLP tutorial text/html 2020-10-01T12:23:32+00:00 Anonymous (anonymous@undisclosed.example.com) https://linguisticsweb.org/doku.php?id=linguisticsweb:tutorials:frameworks:weka&rev=1601547812&do=diff Weka: Data Mining Software in Java Introduction Weka is a software for data mining. Many algorithms such as Naive Bayes or decision trees are implemented in the software and can be used for many different NLP tasks. Weka contains tools for pre-processing, clustering, classification or visualisation. So with Weka you can preprocess a dataset, feed it into a learning scheme and analyze the performance of the used classifier, without writing any programm code at all. For exact details, see the