Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
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Updated
Apr 30, 2024 - Python
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
Open-Source Neural Machine Translation in Tensorflow
A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.
Minimalist NMT for educational purposes
Neural Machine Translation with Keras
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
Sequence to sequence learning using TensorFlow.
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
An open-source tool for sequence learning in NLP built on TensorFlow.
基于seq2seq模型的简单对话系统的tf实现,具有embedding、attention、beam_search等功能,数据集是Cornell Movie Dialogs
BERT-NER (nert-bert) with google bert https://github.com/google-research.
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
A list of Neural MT implementations
Sequence-to-Sequence Framework in PyTorch
Firefox Translations is a webextension that enables client side translations for web browsers.
Simple encoder-decoder neural machine translation written in tensorflow
An open-source neural machine translation system developed by Natural Language Processing Group, Nanjing University.
A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.
nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.
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