神经机器翻译(NMT)开源工具


博客地址:http://blog.csdn.net/wangxinginnlp/article/details/52944432


工具名称:T2T: Tensor2Tensor Transformers

地址:https://github.com/tensorflow/tensor2tensor

语言:Python/Tensorflow

简介:★ 五颗星

https://research.googleblog.com/2017/06/accelerating-deep-learning-research.html



工具名称:dl4mt

地址:https://github.com/nyu-dl/dl4mt-tutorial/tree/master/session2

语言:Python/Theano

简介:

Attention-based encoder-decoder model for machine translation.  

New York University Kyunghyun Cho博士组开发。


工具名称:blocks

地址:https://github.com/mila-udem/blocks

语言:Python/Theano

简介:

Blocks is a framework that helps you build neural network models on top of Theano. 

Université de Montréal LISA Lab(实验室主任Yoshua Bengio,实验室现在更名为MILA Lab,主页:https://mila.umontreal.ca/en/)开发,是之前GroundHog(https://github.com/lisa-groundhog/GroundHog)的升级替代版。



工具名称:EUREKA-MangoNMT

地址:https://github.com/jiajunzhangnlp/EUREKA-MangoNMT

语言:C++ 

简介:A C++ toolkit for neural machine translation for CPU. 

中科院自动化所语音语言技术研究组张家俊博士(http://www.nlpr.ia.ac.cn/cip/jjzhang.htm)开发。


工具名称:Nematus 

地址:https://github.com/EdinburghNLP/nematus

语言:Python/Theano

简介:爱丁堡大学发布的NMT工具


工具名称:AmuNMT

地址:https://github.com/emjotde/amunmt

语言:C++ 

简介:

A C++ inference engine for Neural Machine Translation (NMT) models trained with Theano-based scripts from Nematus (https://github.com/rsennrich/nematus) or DL4MT (https://github.com/nyu-dl/dl4mt-tutorial).

Moses Machine Translation CIC公司Hieu Hoang博士(http://statmt.org/~s0565741/)等人开发。


工具名称:Zoph_RNN

地址:https://github.com/isi-nlp/Zoph_RNN

语言:C++

简介:

A C++/CUDA toolkit for training sequence and sequence-to-sequence models across multiple GPUs.

USC Information Sciences Institute开发。


工具名称:sequence-to-sequence mdoels in tensorflow

地址:https://www.tensorflow.org/versions/r0.11/tutorials/seq2seq/index.html

语言:TensorFlow/Python

简介:Sequence-to-Sequence Models


工具名称:nmt_stanford_nlp

地址:http://nlp.stanford.edu/projects/nmt/

语言:Matlab

简介:

Neural machine translation (NMT) at Stanford NLP group.


工具名称:OpenNMT

地址:http://opennmt.net/

语言:Lua/Torch

简介:

OpenNMT was originally developed by Yoon Kim and harvardnlp.


工具名称:lamtram

地址:https://github.com/neubig/lamtram

语言:C++/DyNet

简介:

lamtram: A toolkit for language and translation modeling using neural networks.

CMU Graham Neubig博士组开发。


工具名称:Neural Monkey

地址:https://github.com/ufal/neuralmonkey

语言:TensorFlow/Python

简介:The Neural Monkey package provides a higher level abstraction for sequential neural network models, most prominently in Natural Language Processing (NLP). It is built on TensorFlow. It can be used for fast prototyping of sequential models in NLP which can be used e.g. for neural machine translation or sentence classification.

Institute of Formal and Applied Linguistics at Charles University 开发。

(WMT中NEURAL MT TRAINING TASK用的就是Neural Monkey  见:http://www.statmt.org/wmt17/


工具名称:Neural Machine Translation (seq2seq) Tutorial

地址:https://github.com/tensorflow/nmt

语言:python/Tensorflow

简介:

Google Brain的Thang Luong博士等人出品



如果对上述工具感兴趣,可以使用WMT16的双语语料跑着玩玩,语料地址 http://www.statmt.org/wmt16/translation-task.html。


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