Some time ago I asked the mstparser developers if they would consider contributing the parser to OpenNLP. They said that mstparser isn't up-to-date anymore since better parsers are now available, but in principle didn't reject the idea.
If OpenNLP was interested in adopting the mstparser, that might be something to follow up on. The mstparser is only a dependency parser, not a constituency parser as the one currently included with OpenNLP. Cheers, -- Richard On 20.06.2014, at 09:33, Jörn Kottmann <[email protected]> wrote: > On 06/19/2014 06:00 PM, Miller, Timothy wrote: >> There is a paper at this year's ACL conference on a statistical parser >> with some interesting properties [1]. I tracked down the software [2] >> and it is apache-licensed (unlike most other high quality parsers such >> as the Berkeley and Stanford parsers). It is written in Scala so in >> theory it should be compatible. Most importantly it is about as accurate >> as those state of the art parsers on English (about 33% error reduction >> from the Ratnaparkhi parser that opennlp currently uses), and may be >> superior for cross-language performance. >> >> I am going to play with it with some of our clinical data to get a feel >> for speed/accuracy on clinical text. Just curious if there is any >> interest in a wrapper for this parser in opennlp? > > I don't think a wrapper is interesting for us. If people want to use this > parser it is probably > better if they integrate it directly or use a component framework like UIMA > or GATE. > > Anyway, getting a new parser as a contribution would be interesting. > > Jörn
