Hi Rodrigo, thanks a lot for your inputs, do you have insights on the "treeinsert" algorithm [1] too?
Thanks, Tommaso [1] : http://opennlp.apache.org/documentation/1.5.3/manual/opennlp.html#tools.parser.parsing 2014-10-15 9:38 GMT+02:00 Rodrigo Agerri <rage...@apache.org>: > Hi, > > The main algorithm (called chunking in the trunk) is based on > Ratnapharki's work. > It is best to directly read the paper. > > http://link.springer.com/article/10.1023/A:1007502103375 > > This is a shift-reduced parser which incidentally are becoming quite > fashionable again. For example, Stanford CoreNLP recently released a > shift-reduced parser themselves, as an alternative to their PCFGs, > lexicalized parser. > > HTH, > > Rodrigo > > On Wed, Oct 15, 2014 at 9:32 AM, Tommaso Teofili > <tommaso.teof...@gmail.com> wrote: > > Hi all, > > > > in a bit of spare time I sketched a basic implementation of (in memory) > > probabilistic context free grammars which, if properly trained, can be > used > > to build the parse tree of a given sentence, however (also looking at the > > doc on the website) it's not completely clear what's already implemented > in > > trunk, I see there are 2 algorithms for parsing, could someone shed some > > light on them? And eventually fire an opinion for adding PCFGs as an > > additional algorithm? > > > > Regards, > > Tommaso >