Pinned Repositories
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
PhoMT
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation (EMNLP 2021)
PhoNLP
PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)
PhoST
A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation (INTERSPEECH 2022)
tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Text2PhonemeSequence
vall-e
An unofficial PyTorch implementation of the audio LM VALL-E
vall-e-1
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html
VnCoreNLP_Wrapper
thelinhbkhn2014's Repositories
thelinhbkhn2014/Text2PhonemeSequence
thelinhbkhn2014/VnCoreNLP_Wrapper
thelinhbkhn2014/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
thelinhbkhn2014/PhoMT
PhoMT: A High-Quality and Large-Scale Benchmark Dataset for Vietnamese-English Machine Translation (EMNLP 2021)
thelinhbkhn2014/PhoNLP
PhoNLP: A BERT-based multi-task learning model for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)
thelinhbkhn2014/PhoST
A High-Quality and Large-Scale Dataset for English-Vietnamese Speech Translation (INTERSPEECH 2022)
thelinhbkhn2014/tacotron2
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
thelinhbkhn2014/vall-e
An unofficial PyTorch implementation of the audio LM VALL-E
thelinhbkhn2014/vall-e-1
PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html