Collocates multiple machine translation outputs for qualitative analysis
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Updated
Jun 12, 2017 - Python
Collocates multiple machine translation outputs for qualitative analysis
Based on Open-Source Neural Machine Translation in PyTorch http://opennmt.net/
machine learning
Natural Language Processing
tensorflow.org: Neural Machine Translation
NMT training pipeline using huggingface transformer
Sequence-to-Sequence Deep Learning approach to Machine Translation
Neural Sign Language Translation with pre-trained Transformers
Transformers in Pytorch: Easy-to-use API for quick research experiments
This repo covers methodologies to utilize Pre Trained BERT model on NMT Task
Neural machine translation English - Vietnamese with Transformer.
Extend/Passing extra source tokens to seq2seq encoder (PyTorch)
Subword Neural Machine Translation
JoeyNMT with Hierarchical RL
Tensorflow Keras model for commit message generation
Attention-based LSTM translator
ganesh kavhar Python Machine learning tutorials....
This course examines the theoretical and applied problems of constructing and modelling systems, which aim to extract and represent the meaning of natural language sentences or of whole discourses, but drawing on contributions from the fields of linguistics, cognitive psychology, artificial intelligence and computing science.
Tensoflow 1.11 implementation of the Neural Sign Language Translation CVPR 2018 paper
[EMNLP 2021] Improving Multilingual Neural Machine Translation with Auxiliary Source Languages
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