The Text Tonsorium is a web application that not only executes workflows, but also composes workflows from building blocks. Each building block encapsulates a Natural Language Processing tool.

The Text Tonsorium may compose many workflows that all lead to your goal. It will then ask you to choose one of the proposed workflows.

The original version of the Text Tonsorium was made during the DK-Clarin project. The Text Tonsorium is written in the Bracmat programming language, except for the communication with the user's browser and with the tools (web services in their own right), which is implemented in Java.

The file textonInstall.txt gives a detailed description of how to install the Text Tonsorium in the Windows Subsystem for Linux.

A number of NLP tools are included in this repositorium. More tools can by tried at the Text Tonsorium homepage. Resources for the NLP tools must be separately fetched from GitHub.

Cite:Eric Brill. 1992. A simple rule-based part of speech tagger. In Proceedings of the third conference on Applied natural language processing (ANLC '92). Association for Computational Linguistics, Stroudsburg, PA, USA, 152-155. doi:10.3115/974499.974526

Cite: Yoshimasa Tsuruoka, Yusuke Miyao, and Jun'ichi Kazama. 2011. Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models? In Proceedings of CoNLL, pp. 238-246.

Jongejan, B. and Dalianis, H. (2009). Automatic training of lemmatization rules that handle morphological changes in pre-, in- and suffixes alike. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP, volume 1, pages 145–153. Association for Computational Linguistics.