Sequence-to-sequence model with attention using Torch
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Updated
Dec 19, 2016 - Lua
Sequence-to-sequence model with attention using Torch
Deep Character-Level Neural Machine Translation
Neural Machine Translation with Attention (Dynet)
Based on Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
Neural machine translator for English2German translation.
Neural Text Simplification using OpenNMT
Final Project for Machine Learning CAP6610 at UF
Deep Learning Nanodegree Foundations Project 4
Collocates multiple machine translation outputs for qualitative analysis
Subword Neural Machine Translation
In this project, you’re going to take a peek into the realm of neural network machine translation. You’ll be training a sequence to sequence model on a dataset of English and French sentences that can translate new sentences from English to French.
Personal NMT Playground
Using (Google) Neural Machine Translation for chess movements inference (TensorFlow)
Scripts and configuration files for the Nematus NMT system, especially for Indian languages
Semi-Supervised Neural Machine Translation - for small bilingual datasets
Code accompanying our EMNLP paper Learning Language Representations for Typology Prediction
Seq2Seq NMT
Scripts for Tartu Neural MT systems for WMT 17
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