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Text categorization, arabic language processing, language modeling
The Arabic Corpus {compiled by Dr. Mourad Abbas ( http://sites.google.com/site/mouradabbas9/corpora ) The corpus Khaleej-2004 contains 5690 documents. It is divided to 4 topics (categories). The corpus Watan-2004 contains 20291 documents organized in 6 topics (categories). Researchers who use these two corpora would mention the two main references:
(1) For Watan-2004 corpus
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Turku Event Extraction System (TEES) is a free and open source natural language processing system developed for the extraction of events and relations from biomedical text. It is written mostly in Python, and should work in generic Unix/Linux environments.
Currently, the TEES source code repository still remains on GitHub at http://jbjorne.github.com/TEES/ where there is also a wiki with more information.
A Rule-based Part-of-Speech and Morphological Tagging Toolkit
...RDRPOSTagger now supports pre-trained POS and morphological tagging models for Bulgarian, Czech, Dutch, English, French, German, Hindi, Italian, Portuguese, Spanish, Swedish, Thai and Vietnamese. Additionally, RDRPOSTagger supports the pre-trained Universal POS tagging models for 40 languages.
See the full usage of RDRPOSTagger at: http://rdrpostagger.sourceforge.net/
This project concerns the development of human language technology resources, based on the approach to share or recycle resources between closely related language.
http://gerhard.pro/closely-related-languages/
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THIS PROJECT MIGRATED TO https://gitlab.com/mwetoolkit/mwetoolkit3/
...Its development started in 2010 as a PhD thesis but the project keeps active (see the SVN logs).
Up-to-date documentation and details about the tool can be found on the mwetoolkit website: http://mwetoolkit.sourceforge.net/
...Thought for people with difficulties writing on keyboard, improves the writing speed preventing the user from pressing at most 50% of keys to write and avoids ortographic errors.
Made by Fundación Teletón Uruguay (http://www.teleton.org.uy/home/)
WordNetLMF converts WordNet (http://wordnet.princeton.edu/) lexicographer files into KYOTO-LMF, the LMF dialect used in the KYOTO project (http://www.kyoto-project.eu/).
Shift Word Helper is a scrabble-like games helper, which includes an online dictionary client. Shift Word Helper est un bon assistant pour les jeux de mots tels que le scrabble, avec un dictionnaire en-ligne integré. English & french supported
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