Seconded. As a software developer in a commercial company I use OpenNLP because of it's simplicity, and as a researcher I want a place to submit production-quality code to someday where it will then be used by industry. All I want is a JAR and models to be able to use bits and pieces of OpenNLP for very common tasks such as tokenization, sentence splitting, chunking, etc. Do common NLP tasks, do them well, and do them and only them. All else (web services, fancy storage formats, UI, highly specialized pipelines) are features that I wouldn't use.
Chris On Mon, Jul 9, 2012 at 12:05 AM, Jeyendran Balakrishnan <[email protected] > wrote: > My vote would be to keep OpenNLP independent. > It is easy to use and there is good interest and activity. > UIMA suffers from a high degree of unnecessary complexity. > And ORP indeed seems to be inactive. > > > -----Original Message----- > From: Lance Norskog [mailto:[email protected]] > Sent: Sunday, July 08, 2012 8:56 PM > To: [email protected] > Subject: Apache "Text Analysis" top-level project? > > Would it make sense to join OpenNLP, UIMA, and Open Relevance into one > top-level "Text Analysis" project? There are already cross-project > connections between UIMA and OpenNLP. ORP seems dormant. It also seems a > more natural place than OpenNLP for a database of tagged text. > > > -- > Lance Norskog > [email protected] > >
