this is a good paper on sentence segmentation -- the best I've come across. You might want to check out the related work there too.
On 13 August 2012 14:35, Jeff Elmore <jelmore at lexile.com> wrote:
> I'm curious what folks are using these days for sentence segmenting for
> My application involves narrative and informational texts at a variety of
> reading levels and genres. Most text is hand-edited to eliminate non-prose
> content but any system that could respond robustly to unedited text would
> be awesome, of course.
> Mostly we've been using hand-crafted tools written in Python. I have
> checked out what NLTK offers but from what I've seen there's not anything
> terribly accurate in it (fails on obvious common cases like some
> honorifics). We did develop a decision tree based model using Weka for
> Spanish text. I'd be happy to do this again for English but wanted to see
> if there's something good already out there.
> Thanks in advance!
> UNSUBSCRIBE from this page: http://mailman.uib.no/options/corpora
> Corpora mailing list
> Corpora at uib.no
-------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 1912 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20120813/183f5346/attachment.txt>