72 Open source projects that are alternatives of or similar to Na Nmt

Several basic neural machine translation models implemented by PyTorch & TensorFlow

Neural machine translation between the writings of Shakespeare and modern English using TensorFlow

Data Augmentation for Neural Machine Translation

Machine Translation (MT) Preparation Scripts

Fast inference engine for OpenNMT models

Curated list of publicly available parallel corpus for Indian Languages

A TensorFlow Implementation of Machine Translation In Neural Machine Translation in Linear Time

Open Source Neural Machine Translation in PyTorch

Towards Neural Phrase-based Machine Translation

Sign Language Translation with Transformers (COLING'2020, ECCV'20 SLRTP Workshop)

Neural machine translation implementation using dynet's python bindings

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Sequence to sequence learning using TensorFlow.

UPC Deep Learning for Speech and Language 2018

An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

A simple yet strong implementation of neural machine translation in pytorch

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

Neural Machine Translation with RNN/ConvS2S/Transoformer

Open Source Neural Machine Translation in Torch (deprecated)

Neutron: A pytorch based implementation of Transformer and its variants.

《机器翻译：基础与模型》肖桐 朱靖波 著 - Machine Translation: Foundations and Models

Neural Machine Translation with Keras

Fast Neural Machine Translation in C++ - development repository

Code for "Asynchronous bidirectional decoding for neural machine translation" (AAAI, 2018)

Zero -- A neural machine translation system

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Sequence-to-Sequence Framework in PyTorch

Java JNI wrapper for SentencePiece: unsupervised text tokenizer for Neural Network-based text generation.

Open-Source Neural Machine Translation in Tensorflow

Tools for filtering and cleaning parallel and monolingual corpora for machine translation and other natural language processing tasks.

A list of Neural MT implementations

Translating English sentences to Marathi using Neural Machine Translation

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

This repository contains the code and data of the paper titled "Not Low-Resource Anymore: Aligner Ensembling, Batch Filtering, and New Datasets for Bengali-English Machine Translation" published in Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), November 16 - November 20, 2020.

Cross platform C++ library focusing on optimized machine translation on the consumer-grade device.

Unsupervised text tokenizer for Neural Network-based text generation.

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

Visualization for simple attention and Google's multi-head attention.

I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers

基于双向RNN，Attention机制的编解码神经机器翻译模型

Neural Adaptive Machine Translation that adapts to context and learns from corrections.

How Does Selective Mechanism Improve Self-attention Networks?

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Sequence-to-Sequence learning using PyTorch

Improving the Transformer translation model with document-level context

An implementation of attention-based neural machine translation using Pytorch

🤖 Neural SPARQL Machines for Knowledge Graph Question Answering.

Fast Neural Machine Translation in C++

Preprocessed Python functions and docstrings for automated code documentation (code2doc) and automated code generation (doc2code) tasks.

Implementation of our paper "Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation" in EMNLP-2020.

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

Minimalist NMT for educational purposes

A minimal nmt example to serve as an seq2seq+attention reference.

An Implementation of Transformer (Attention Is All You Need) in DyNet

curated collection of papers for the nlp practitioner 📖👩‍🔬

TensorFlow and Deep Learning Tutorials

An open-source tool for sequence learning in NLP built on TensorFlow.

A Fast Neural Machine Translation System. It is developed in C++ and resorts to NiuTensor for fast tensor APIs.