Not old,  mature.

Daniel Russ, Ph.D.
Staff Scientist, Division of Computational Bioscience
Center for Information Technology
National Institutes of Health
U.S. Department of Health and Human Services
12 South Drive
Bethesda,  MD 20892-5624

On Nov 6, 2015, at 11:54 AM, Mattmann, Chris A (3980) 
<chris.a.mattm...@jpl.nasa.gov<mailto:chris.a.mattm...@jpl.nasa.gov>> wrote:

Hi Everyone,

Hope youąre well! Iąm new to the list, however I just wanted to
state Iąm really happy with what Iąve seen with OpenNLP so far.
My team and I have built a Tika Parser [1] that uses OpenNLPąs
location NER model, along with a Lucene Geo Names Gazeeteer [2]
to create a łGeoTopicParser˛. We are improving it day to day.
OpenNLP has definitely come a long way from when I looked at it
years ago in its nascence.

That said, I keep hearing from people I talk to in the NLP community
that for example OpenNLP is łold˛, and that I should be looking
at e.g., Stanfordąs NER, and NTLK, etc. Besides obvious license
issues (NER is GPL as an example and I am only interested in ALv2
or permissive license code), I donąt have a great answer to whether
or not OpenNLP is old or not active, or not as good, etc. Can
devs on this list help me answer that question? Iąd like to be
able to tell these NLP people the next time I talk to them that
no, in fact, OpenNLP isnąt *old*, and itąs active, and there are
these X and Y lines of development, and hereąs where they are
going, etc.

Looking at:

https://whimsy.apache.org/board/minutes/OpenNLP


I see that you guys have done GSoC, are working on a Naive Bayes
classifier; summarization components, are making releases (seemingly
more frequently, etc.). I also looked at:

https://reporter.apache.org/


And I see your project health score and activity is excellent.

Thanks and let me know.

Cheers,
Chris

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Chris Mattmann, Ph.D.
Chief Architect
Instrument Software and Science Data Systems Section (398)
NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA
Office: 168-519, Mailstop: 168-527
Email: chris.a.mattm...@nasa.gov
WWW:  http://sunset.usc.edu/~mattmann/
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Adjunct Associate Professor, Computer Science Department
University of Southern California, Los Angeles, CA 90089 USA
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