Part-of-speech tagging
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Part-of-speech tagging is the task of assigning a part-of-speech tag to each word in a given text.
History
Further reading
Software
- ACOPOST - a collection of taggers using maximum entropy, second order Markov, exemplar, and transformation-based models. See also this site. Free, open source license.
- Citar - uses trigram-based HMMs. Free, open source license.
- CRF++ - uses Conditional random fields. Free, open source license (dual: LGPL, New BSD). C++.
- CRFTagger - for English. Free, open source license. Java.
- GPoSTTL - Enhanced TBL tagger for English. Open source license.
- HunPos - uses trigram-based HMMs. Free, open source license. OCaml.
- Illinois LBJ POS Tagger - Uses averaged Perceptron based sequential model. Java API, Free, open source license.
- Memory-based tagger (MBT) - uses TiMBL. Free, open source license.
- Morče - Uses Averaged Perceptron based model. Free, open source license (GPL2).
- Sequor - Uses Averaged Perceptron based model. Free, open source license (New BSD). Haskell.
- Stanford Tagger - uses Maximum entropy models. Free, open source license. Java.
- SVMTool - uses Support vector machines. Free, open source license, but depends on non-Free/open source SVMlight.