Is this the latest/greatest paper around MT @tommaso ?? On Sat, Jul 1, 2017 at 7:55 AM, Tommaso Teofili <tommaso.teof...@gmail.com> wrote:
> I accidentally found the paper about mmt [1] > > [1] : > https://ufal.mff.cuni.cz/eamt2017/user-project-product- > papers/papers/user/EAMT2017_paper_88.pdf > > Il giorno gio 1 dic 2016 alle ore 22:19 Mattmann, Chris A (3010) < > chris.a.mattm...@jpl.nasa.gov> ha scritto: > > > Guys I want to point you at the DARPA D3M program: > > > > http://www.darpa.mil/program/data-driven-discovery-of-models > > > > I’m part of the Government Team for the program. This will be a good > > connection > > to have b/c it’s focused on automatically doing model and code building > > for ML based > > approaches. > > > > > > ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > > Chris Mattmann, Ph.D. > > Principal Data Scientist, Engineering Administrative Office (3010) > > Manager, Open Source Projects Formulation and Development Office (8212) > > NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA > > Office: 180-503E, Mailstop: 180-503 > > Email: chris.a.mattm...@nasa.gov > > WWW: http://sunset.usc.edu/~mattmann/ > > ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > > Director, Information Retrieval and Data Science Group (IRDS) > > Adjunct Associate Professor, Computer Science Department > > University of Southern California, Los Angeles, CA 90089 USA > > WWW: http://irds.usc.edu/ > > ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > > > > > > On 12/1/16, 1:15 PM, "Matt Post" <p...@cs.jhu.edu> wrote: > > > > John, > > > > Thanks for sharing, this is really helpful. I didn't realize that > > Marcello was involved. > > > > I think we can identify with the NMT danger. I still think there is a > > big niche that deep learning approaches won't reach for a few years, > until > > GPUs become super prevalent. Which is why I like ModernMT's approaches, > > which overlap with many of the things I've been thinking. One thing I > > really like is there automatic context-switching approach. This is a > great > > way to build general-purpose models, and I'd like to mimic it. I have > some > > general ideas about how this should be implemented but am also looking > into > > the literature here. > > > > matt > > > > > > > On Dec 1, 2016, at 1:46 PM, John Hewitt <john...@seas.upenn.edu> > > wrote: > > > > > > I had a few good conversations over dinner with this team at AMTA > in > > Austin > > > in October. > > > They seem to be in the interesting position where their work is > > good, but > > > is in danger of being superseded by neural MT as they come out of > > the gate. > > > Clearly, it has benefits over NMT, and is easier to adopt, but may > > not be > > > the winner over the long run. > > > > > > Here's the link > > > < > > https://amtaweb.org/wp-content/uploads/2016/11/MMT_ > Tutorial_FedericoTrombetti_wide-cover.pdf > > > > > > to their AMTA tutorial. > > > > > > -John > > > > > > On Thu, Dec 1, 2016 at 10:17 AM, Mattmann, Chris A (3010) < > > > chris.a.mattm...@jpl.nasa.gov> wrote: > > > > > >> Wow seems like this kind of overlaps with BigTranslate as well.. > > thanks > > >> for passing > > >> along Matt > > >> > > >> ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > ++++++ > > >> Chris Mattmann, Ph.D. > > >> Principal Data Scientist, Engineering Administrative Office (3010) > > >> Manager, Open Source Projects Formulation and Development Office > > (8212) > > >> NASA Jet Propulsion Laboratory Pasadena, CA 91109 USA > > >> Office: 180-503E, Mailstop: 180-503 > > >> Email: chris.a.mattm...@nasa.gov > > >> WWW: http://sunset.usc.edu/~mattmann/ > > >> ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > ++++++ > > >> Director, Information Retrieval and Data Science Group (IRDS) > > >> Adjunct Associate Professor, Computer Science Department > > >> University of Southern California, Los Angeles, CA 90089 USA > > >> WWW: http://irds.usc.edu/ > > >> ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ > ++++++ > > >> > > >> > > >> On 12/1/16, 4:47 AM, "Matt Post" <p...@cs.jhu.edu> wrote: > > >> > > >> Just came across this, and it's really cool: > > >> > > >> https://github.com/ModernMT/MMT > > >> > > >> See the README for some great use cases. I'm surprised I'd > never > > heard > > >> of this before as it's EU funded and associated with U Edinburgh. > > >> > > >> > > > > > > > > >
