Thanks Dan !!!.. Manoj.
On Fri, Aug 18, 2017 at 8:21 PM, Dan Russ <[email protected]> wrote: > Hello Manoj, > > This is more a job for Wikipedia than opennlp’s dev mail list. > https://en.wikipedia.org/wiki/Parsing <https://en.wikipedia.org/ > wiki/Parsing> https://en.wikipedia.org/wiki/Shallow_parsing < > https://en.wikipedia.org/wiki/Shallow_parsing> > > Essentially, the term “parsing” is a generic term that takes input text > and breaks it up into parts using certain rules (wikipedia refers to this > as a grammar). Think of java's Integer.parseInt(String s). OpenNLP has a > StringTokenizer that “parses” strings into constituent words based on > whitespace (WhitespaceTokenizer) or a statistically training model > (TokenizerME). A Chunker on the other hand takes the constituent words and > puts them together to make a larger construct (think of a phrase). So…. > If you want to get noun or verb phrases use a chunker. It is also very > useful if you are interested in identifying relationships between words. I > believe the Stanford NLP dependencies use chunking, for more info on that > https://nlp.stanford.edu/software/stanford-dependencies.shtml#English < > https://nlp.stanford.edu/software/stanford-dependencies.shtml#English> . > If I am wrong about the Stanford Dependencies, maybe someone will correct > me... > > > Hope it helps, > Daniel > > > > > On Aug 18, 2017, at 9:50 AM, Manoj B. Narayanan < > [email protected]> wrote: > > > > Hi, > > > > Could someone help me with this please ? > > > > Thanks, > > Manoj. > > > > On Tue, Aug 8, 2017 at 1:16 PM, Manoj B. Narayanan < > > [email protected]> wrote: > > > >> Hi, > >> > >> Can some one please explain the difference between Parser and Chunker in > >> OpenNLP. > >> I think we can get the same output of the Parser from Chunker output > >> itself. > >> Please correct me if I am wrong. > >> > >> Thanks. > >> Manoj. > >> > >
