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Alembic POS MBT POS
CLAWS POS QTag
CLAWS WWW Stanford
Genia POS SVM Tool
LT POS TOSCA/LOB
Machinese Tree Tagger

Misc
Parser
SGML

../ Alembic POS Tagger online
Org: Alembic; Seok Bae Jang
Purpose:   "This program makes automatic POS tagging."
Access:   Free
   
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../ CLAWS POS Tagger
Developed by: UCREL, various authors
Purpose:   Grammatical POS Tagging with 96 - 97% accuracy
Access:   Site licence available online; WWW trial now available
   
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../ CLAWS WWW Trial Service
Developed by: UCREL
Purpose:   Free WWW access to CLAWS POS tagger
Access:   Limited to 300 words and 10,000 for academic institutions. Special arrangements possible, contact host.
   
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../ Genia POS Tagger
Developed by: Department of Information Science, Faculty of Science, University of Tokyo
Purpose:   The GENIA PoS tagger is a part-of-speech tagger specifically tuned for biomedical texts such as MEDLINE abstracts.
Access:   Free download
   
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../ LT POS
Developed by: LTG - Language Technology Group, Edinburgh, UK
Purpose:   "LT POS incorporates a part of speech guesser which employs a number of different guessing strategies. LT POS achieves 88-92% accuracy on unknown words."
Access:   free for research purposes; you can also try the free online demo version.
   
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../ Machinese Phrase Tagger
Developed by: Connexor
Purpose:   "Machinese Phrase Tagger is a set of program components that performs basic linguistic analysis tasks at very high speed and provides relevant information about words and concepts to volume-intensive applications."
Access:   Free access to online demo.
   
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../ MBT POS - Memory Based Tagging
Developed by: Walter Daelemans, Jakub Zavrel
Purpose:   POS Tagger (Dutch, English, German, Spanish, Swedish)
Access:   Online demo available
   
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../ QTag
Developed by: Oliver Mason
Purpose:   "QTAG is a probabilistic parts-of-speech tagger . That means it's a program that reads text and for each token in the text returns the part-of-speech (eg noun, verb, punctuation, etc). It works using statistical methods, hence the `probabilistic'. As a result it does make mistakes (as does every POS tagger), but it is fairly robust and (from informal evaluation) tags texts with good accuracy."
Access:   Freely available for individual research and non-commercial purposes.
   
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../ Stanford Log-Linear Tagger
Developed by: Stanford NLP Group ( Kristina Toutanova )
Purpose:   Tagger written in Java
Access:   Free download
   
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../ SVM Tool
Developed by: Developed at TALP Research Center , in Universitat Politècnica de Catalunya .
Purpose:   An open source part-of-speech tagger generator ("...achieves a very competitive accuracy of 97.2% for English on the Wall Street Jounal corpus..")
Access:    
   
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../ TreeTagger
Developed by: University of Stuttgart
Purpose:   "The TreeTagger is a tool for annotating text with part-of-speech and lemma information which has been developed within the TC project at the Institute for Computational Linguistics of the University of Stuttgart."
Access:   Free download
   
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