If itβs not strict to use only NLTK, you can try our reliable and language-independent POS tagging toolkit RDRPOSTagger .
(License: GPLv2; Programming Language: Python and Java)
RDRPOSTagger gets fast performance both in training and in methods. In addition, the RDRPOSTagger achieves very competitive accuracy compared to the most advanced results.
Updated 11/18/2015: version 1.2 with improved accuracy mark, especially in languages ββrich in morphology. See Experimental results, including speed and labeling accuracy, in this document .
RDRPOSTagger supports pre-prepared models of POS and morphological labels for Bulgarian, Czech, Dutch, English, French, German, Hindi, Italian, Portuguese, Spanish, Swedish, Thai and Vietnamese. RDRPOSTagger also supports pre-prepared universal POS marking models for 40 languages.
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