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| ../ CLAWS POS Tagger |
| Developed by: |
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UCREL, various authors |
| Purpose: |
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Grammatical POS Tagging with 96 - 97% accuracy |
| Access: |
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Site licence available online; WWW trial now available |
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| ../ CLAWS WWW Trial Service |
| Developed by: |
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UCREL |
| Purpose: |
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Free WWW access to CLAWS POS tagger |
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Limited to 300 words and 10,000 for academic institutions. Special arrangements possible, contact host. |
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| ../ Genia POS Tagger |
| Developed by: |
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Department of Information Science, Faculty of Science, University of Tokyo |
| Purpose: |
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The GENIA PoS tagger is a part-of-speech tagger specifically tuned for biomedical texts such as MEDLINE abstracts. |
| Access: |
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Free download |
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../ LT POS |
| Developed by: |
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LTG - Language Technology Group, Edinburgh, UK |
| Purpose: |
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"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." |
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free for research purposes; you can also try the free online demo version. |
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../ Machinese Phrase Tagger |
| Developed by: |
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Connexor |
| Purpose: |
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"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: |
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Free access to online demo. |
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../ QTag |
| Developed by: |
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Oliver Mason |
| Purpose: |
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"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: |
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Freely available for individual research and non-commercial purposes. |
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| ../ SVM Tool |
| Developed by: |
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Developed at TALP Research Center , in Universitat Politècnica de Catalunya . |
| Purpose: |
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An open source part-of-speech tagger generator ("...achieves a very competitive accuracy of 97.2% for English on the Wall Street Jounal corpus..") |
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../ TreeTagger |
| Developed by: |
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University of Stuttgart |
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"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: |
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Free download |
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