Dear Apache OpenNLP Project Team,
About the previous question, I've checked the models at sourceforge site
(http://opennlp.sourceforge.net/models-1.5/) and seen that there are two
models for POS tagging: en-pos-maxent.bin
<http://opennlp.sourceforge.net/models-1.5/en-pos-maxent.bin> and
en-pos-perceptron.bin
<http://opennlp.sourceforge.net/models-1.5/en-pos-perceptron.bin>
Therefore I guess that in the source code for POS Tagger, two models
were applied: Maximum Entropy Models, perceptron model.
Would you please give me some information about that?
Thank you so much for your help,
Best Regards,
Trung Tran.
On 10/27/2016 06:47 AM, ttr...@nlke-group.net wrote:
Dear Apache OpenNLP Project Team,
Thank you so much for your amazing tools in NLP field.
I have a question about the statistical models used in these tools:
- which one (HMM or CRF) did you use to developer the train APIs ?
When I use the Java code train APIs (at
https://opennlp.apache.org/documentation/1.6.0/manual/opennlp.html) I
do not see the information about the statistical model.
Thank you so much for your help.
Best regards,
Trung Tran.
