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Part-of-speech tagging - Wikipedia, the free encyclopedia
In corpus linguistics, part-of-speech tagging ( POS tagging or POST ), also called grammatical tagging or word-category disambiguation , is the process of marking up the words in a text (cor...
en.wikipedia.org/wiki/Part-of-speech_tagging |
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The Trigram tagger assigns the part of speech tag correctly about 96% to 97% of the time. The accuracy can be expected to improve as the training lexicon grows. ... You can try MorphAdorner's trigram part of speech tagger online. This example only accepts plain text as input.
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CLAWS part-of-speech tagger for English ... Part-of-speech (POS) tagging, also called grammatical tagging, is the commonest form of corpus annotation, and was the first form of annotation to be developed by UCREL at Lancaster.
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This part-of-speech (POS) tagger offers fast tagging (2400 tokens/sec) with a state-of-the-art accuracy (97.10% on the WSJ corpus). The tagger uses an extension of Maximum Entropy Markov Models (MEMM), in which tags are determined in the easiest-first mannar.
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NEW! Faster! Monty Tagger v1.2: A Brill-based ; Part-of-Speech Tagger for Python/Java (2003)... free! [view gpl license]; (for commercial licensing, please contact us for more information)
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TnT, the short form of Trigrams'n'Tags, is a very efficient statistical part-of-speech tagger that is trainable on different languages and virtually any tagset. The component for parameter generation trains on tagged corpora.
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Find Simple NLP Part-of-Speech Tagger in Python downloads, reviews, and updates for Windows including commercial software, shareware and freeware on VersionTracker.com. ... Windows | Web & Software Development | IDEs | Simple NLP Part-of-Speech Tagger in Python...
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