A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

Korean English NMT(Neural Machine Translation) with Gluon

TURJUMAN, a neural toolkit for translating from 20 languages into Modern Standard Arabic (MSA).

A Chinese to English Neural Model Translation Project

PyTorch implementation of a 2D-LSTM Seq2Seq Model for NMT.

This repository present a way to serve a English-to-Hindi machine translation model. It also presents a UI, to convert PDF documents to Hindi Language.

This is the sequential Encoder-Decoder implementation of Neural Machine Translation using Keras

😺 基于Keras实现seq2seq，进行英文到中文的翻译

Implemented transformer NN block for Machine translation, text classfication, Natural language inference as well as Machine reading comprehension model.

Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-learning-noise-tolerant-rdfs-reasoning-4

Automatic Text Simplification

A web application to display the retrosynthetic reaction pathway using FLASK

CoNLL 2018: Post-OCR Text Correction in Romanised Sanskrit

whole package for seq2seq nmt model, machine translation.

Neural Machine Translation using Attention Mechanism

Neural Machine Translator with Transformers. Implementation for "Attention Is All You Need" paper

This repository presents a Python-based implementation of the Transformer architecture on Keras TensorFlow library, as proposed by Vaswani et al. in their 2017 paper "Attention is all you need."

Implementation of Character level NMT(Neural Machine Translation) using RNN and Attention Wrapper

Using Google Colab, we develop a NMT, language translator. Here, we do NMT to translate from English to Vietnamese.

Train a jp2zh NMT model with ACG parallel corpus.