4 ms·
The whole project is based on various libraries. In particular, the POS tagger itself uses the OWLQN optimizer from Stanford NLP (licensed under GPL). However,
by vkhuc 12y ago
The whole project is based on various libraries. In particular, the POS tagger itself uses the OWLQN optimizer from Stanford NLP (licensed under GPL).
However, it's possible to remove GPL libraries out of the POS tagger as mentioned here: https://github.com/brendano/ark-tweet-nlp/blob/master/LICENSE.txt https://github.com/brendano/ark-tweet-nlp/blob/master/LICENS...
- hnriot 12y agoYou may want to look at Factorie (https://github.com/factorie/factorie https://github.com/factorie/factorie), that has a decent POS tagger and it's not crippled by the license. It also has dependency parsing which works reasonably well.
- vkhuc 12y agoI've been looking at Factorie for a while but haven't actually done anything heavy with it. I planned to replace the optimizer in CMU's POS tagger with the one implemented in OpenNLP to make the tagger fully Apache. Unfortunately, so busy right now. Currently, I'm running the tagger on AWS, so the GPL doesn't hurt me much. BTW, besides the POS tagger, CMU's TweeboParser depends on Turbo Parser which again is licensed under GPL.