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 is in danger of being superseded by neural MT as they come out of the gate.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.
>> 
>> 

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