Gayathri Nagarajan
2020-Nov-18 19:30 UTC
[R] Tutorial/vignette on modified Kneser Ney smoothing
Hi Team Iam a new learner trying to build n gram models from text corpus and trying to understand the modified kneser Ney smoothing algorithm to code and build my word prediction model. Can someone point me to a vignette or tutorial that will help me learn this ? Thanks in advance for your help Regards Gayathri [[alternative HTML version deleted]]
Wrong list! Google "kneser Ney smoothing algorithm" for possibilities. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Wed, Nov 18, 2020 at 11:30 AM Gayathri Nagarajan < gayathri.nagarajan at gmail.com> wrote:> Hi Team > > Iam a new learner trying to build n gram models from text corpus and trying > to understand the modified kneser Ney smoothing algorithm to code and build > my word prediction model. > > Can someone point me to a vignette or tutorial that will help me learn this > ? > > Thanks in advance for your help > > Regards > Gayathri > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]
Hi Gayathri, Maybe the cmscu package? https://github.com/jasonkdavis/r-cmscu Jim On Thu, Nov 19, 2020 at 6:30 AM Gayathri Nagarajan < gayathri.nagarajan at gmail.com> wrote:> Hi Team > > Iam a new learner trying to build n gram models from text corpus and trying > to understand the modified kneser Ney smoothing algorithm to code and build > my word prediction model. > > Can someone point me to a vignette or tutorial that will help me learn this > ? > > Thanks in advance for your help > > Regards > Gayathri > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]