Neural Machine Translation with attention mechanism
-
Updated
Mar 31, 2019 - Python
Neural Machine Translation with attention mechanism
Assignment 2 for CS 11-731 Machine Translation course.
detransliteration library and tools
Sequence to sequence encoder-decoder model with Attention for Neural Machine Translation
Implementation of LSTM and GRU for the English-Vietnamese (IWSLT'15) dataset.
Introduction nmt-chatbot is the implementation of chatbot using NMT - Neural Machine Translation (seq2seq). Includes BPE/WPM-like tokenizator (own implementation). Main purpose of that project is to make an NMT chatbot, but it's fully compatible with NMT and still can be used for sentence translations between two languages.
Individual assignment 1 for CS 11-731 Machine Translation course.
NMT for English, Hindi, Telugu languages. Fine-tuned pre-trained mt5 model by Google on custom Dataset.
Natural Language Processing Tutorial
This project aims at implementing a Neural Machine Translation model using the Pytorch to automate the translation of Hindi sentences into English.
An LSTM-based Recurrent Neural Network that translates Modern English into Old (Shakespearean) English
Data Augmentation을 위한 Back Translation 과정에 사용한 Translator 정리
French to English neural machine translation trained on multi30k dataset.
For CCBR - ML Lab
Modular rewrite of Assignment 5 of CS224n.
Add a description, image, and links to the nmt-model topic page so that developers can more easily learn about it.
To associate your repository with the nmt-model topic, visit your repo's landing page and select "manage topics."