[HN Gopher] OpenNMT: Open-Source Neural Machine Translation with...
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       OpenNMT: Open-Source Neural Machine Translation with Torch
       Mathematical Toolkit
        
       Author : dragonsh
       Score  : 42 points
       Date   : 2020-07-01 09:55 UTC (1 days ago)
        
 (HTM) web link (github.com)
 (TXT) w3m dump (github.com)
        
       | heyitsguay wrote:
       | Looks cool, but it hasn't been updated in a bit and as they note,
       | the Torch framework is no longer maintained. There is a PyTorch
       | alternative that appears more active:
       | https://github.com/OpenNMT/OpenNMT-py.
        
       | srush wrote:
       | Hi all, I'm one of the original authors of OpenNMT and an nlp
       | prof, always nice to see it trending :). I work with Hugging Face
       | (https://huggingface.co/) now, we do similar things for NLP
       | generally as well as supporting NMT applications.
       | 
       | Main Versions (supported by folks at systran):
       | https://github.com/OpenNMT/OpenNMT-tf
       | https://github.com/opennmt/opennmt-py
       | 
       | Happy to answer any questions about NLP, neural models, open-
       | source ML.
        
         | zitterbewegung wrote:
         | I noticed that your swift libraries will be ready so that
         | refined attention based models can be put on device for iOS .
         | Will you also support android also ?
        
       | sqrt17 wrote:
       | There are many high-performing machine translation toolkits that
       | use PyTorch these days:
       | 
       | - OpenNMT-py (OpenNMT, but Python!)
       | 
       | - fairseq
       | 
       | - JoeyNMT
       | 
       | In addition, you can also try
       | 
       | - tensor2tensor (Tensorflow)
       | 
       | - Sockeye (MXNet / Gluon)
        
       | ai_ja_nai wrote:
       | This is much more used, it's based on FAIRSeq Transformer:
       | https://github.com/modernmt/modernmt. Plus, it's a publicly
       | funded project
        
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       (page generated 2020-07-02 23:00 UTC)