100 Open source projects that are alternatives of or similar to Pytorch Dual Learning

A list of Neural MT implementations

Neural Machine Translation on the Nepali-English language pair

Witwicky: An implementation of Transformer in PyTorch.

Minimalist NMT for educational purposes

A tool that locates, downloads, and extracts machine translation corpora

Python port of Moses tokenizer, truecaser and normalizer

NiuTrans.SMT is an open-source statistical machine translation system developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. The NiuTrans system is fully developed in C++ language. So it runs fast and uses less memory. Currently it supports phrase-based, hierarchical phrase-based and syntax-based (string-to-tree, tree-to-string and tree-to-tree) models for research-oriented studies.

Web application providing a fully localised interface for text/website/document translation, analysis and generation powered by Apertium.

Open-Source Neural Machine Translation in Tensorflow

Neural Machine Translation with Keras

A simple ruby gem for the DeepL API

Thot toolkit for statistical machine translation

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

English-French Machine Language Translation in Tensorflow

ByteNet for character-level language modelling

Localization/I18n: Incrementally update/translate your Strings files from .swift, .h, .m(m), .storyboard or .xib files.

Tracking the progress in end-to-end speech translation

搜索所有中文NLP数据集，附常用英文NLP数据集

A PyTorch implementation of Transformer in "Attention is All You Need"

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

Tooling to play around with multilingual machine translation for Indian Languages.

Transformers without Tears: Improving the Normalization of Self-Attention

Curated list of all NLP Resources

A general-purpose encoder-decoder framework for Tensorflow

Open Source Neural Machine Translation in PyTorch

英中机器文本翻译

A Neural Framework for MT Evaluation

Open source neural machine translation in Python. Designed to be used either as a Python library or desktop application. Uses OpenNMT for translations and PyQt for GUI.

MT paper lists (by conference)

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

Multilingual word vectors in 78 languages

End-to-End Speech Processing Toolkit

Code for AAAI2020 paper "Graph Transformer for Graph-to-Sequence Learning"

Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

Code for the collection and analysis of the MTNT dataset

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

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

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.

Fast and customizable text tokenization library with BPE and SentencePiece support

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

Source code and data for the paper "Towards String-to-Tree Neural Machine Translation"

Contains various architectures and novel paper implementations for Natural Language Processing tasks like Sequence Modelling and Neural Machine Translation.

Neural machine translation and sequence learning using TensorFlow

Library of state-of-the-art models (PyTorch) for NLP tasks

Evaluation code for various unsupervised automated metrics for Natural Language Generation.

Starter code for the VMT task and challenge

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

This is a plugin to allow OmegaT to source machine translations from Tencent Cloud.

Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/

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

Datasets, SOTA results of every fields of Chinese NLP

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

Unsupervised Word Segmentation for Neural Machine Translation and Text Generation

An overview of the AI-as-a-service landscape

Open neural machine translation models and web services

Tutorials and my solutions to the Udacity NLP Nanodegree

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