Re: modernmt
I found the reference for that 1,000,000 number a bit too late -- according to this more recent paper from Koehn, it's more like 15,000,000 tokens for NMT to meet phrase-based MT, and they omit syntax-based. https://arxiv.org/pdf/1706.03872.pdf -John On Sun, Jul 2, 2017 at 12:38 PM, John Hewitt <john...@seas.upenn.edu> wrote: > I've talked with the ModernMT people; they're well aware that they're in a > neural MT world, and they also know that there's a sizable market for > non-neural MT solutions. > To back this up -- Philipp Koehn gave a talk in March on comparing > phrase-based, syntax-based, and neural MT in low-resource settings, that > is, when the amount of bilingual text to train on is small. > > Neural MT needs (if I remember correctly) about 1,000,000 tokens of > training data to outpace syntax-based MT. > Many language pairs (and, for that matter, domains within a single > language pair) do not meet that requirement, and in those cases > syntax-based MT performs best. > > That being said, there are some cool opportunities to combine neural and > syntax-based MT. I can't commit the work hours right now, necessarily, but > I've worked with xnmt <https://github.com/neulab/xnmt>, an MIT-licensed > neural MT library that is purpose-built to be highly modular. It may offer > some good opportunities to make an ensemble system. > > On Sun, Jul 2, 2017 at 4:22 AM, Tommaso Teofili <tommaso.teof...@gmail.com > > wrote: > >> I think it's interesting as it extends some features that also Joshua has, >> it's open source and has good results compared with NMT. >> >> Tommaso >> >> Il giorno sab 1 lug 2017 alle ore 18:56 Suneel Marthi < >> suneel.mar...@gmail.com> ha scritto: >> >> > 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 &g
Re: modernmt
I've talked with the ModernMT people; they're well aware that they're in a neural MT world, and they also know that there's a sizable market for non-neural MT solutions. To back this up -- Philipp Koehn gave a talk in March on comparing phrase-based, syntax-based, and neural MT in low-resource settings, that is, when the amount of bilingual text to train on is small. Neural MT needs (if I remember correctly) about 1,000,000 tokens of training data to outpace syntax-based MT. Many language pairs (and, for that matter, domains within a single language pair) do not meet that requirement, and in those cases syntax-based MT performs best. That being said, there are some cool opportunities to combine neural and syntax-based MT. I can't commit the work hours right now, necessarily, but I've worked with xnmt <https://github.com/neulab/xnmt>, an MIT-licensed neural MT library that is purpose-built to be highly modular. It may offer some good opportunities to make an ensemble system. On Sun, Jul 2, 2017 at 4:22 AM, Tommaso Teofili <tommaso.teof...@gmail.com> wrote: > I think it's interesting as it extends some features that also Joshua has, > it's open source and has good results compared with NMT. > > Tommaso > > Il giorno sab 1 lug 2017 alle ore 18:56 Suneel Marthi < > suneel.mar...@gmail.com> ha scritto: > > > 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 > AMT
Re: modernmt
I think it's interesting as it extends some features that also Joshua has, it's open source and has good results compared with NMT. Tommaso Il giorno sab 1 lug 2017 alle ore 18:56 Suneel Marthi < suneel.mar...@gmail.com> ha scritto: > 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) > > > >> Ma
Re: modernmt
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. > > >> > > >> > > > > > > > > >
Re: modernmt
Thanks for sharing Tomasso! On 7/1/17, 4:55 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. > >> > >> > > > >
Re: modernmt
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. > >> > >> > > > >
Re: modernmt
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. >> >>
Re: modernmt
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. > >
Re: modernmt
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.
Re: modernmt
wow I had never heard of it either, but I do know one of the committers :) Il giorno gio 1 dic 2016 alle ore 13:49 Matt Post <p...@cs.jhu.edu> ha scritto: > 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.
modernmt
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.
