Character-level fork of Fairseq for sequence-to-sequence learning
-
Updated
Oct 23, 2018 - Python
Character-level fork of Fairseq for sequence-to-sequence learning
This represents the first instance of NSEC, a spelling error correction system, based on a CNN-NMT approach. Due to the black-box behaviour this one was replaced by a modularised and observable version.
A simple implementation of Chinese-couplet generation using fairseq.
Автоматическое реферирование текста (TextRank, mBART)
Master's Thesis in Natural Language Generation
Transfer Learning for Text Summarization
A research about Hierarchical Transfer Learning for Neural Machine Translation using fairseq 🐍 👑
Machine Translation with Synchronous Attention Constraint
Neural Machine Translation of User-Generated Content
Translating English text to Persian using Fairseq-py
attention pruning
Project page for NeurIPS 2020 paper "TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation".
Noisy machine translation, final project for 11731
BioGPT is a generative language model that has been pre-trained on large amounts of biomedical literature. It is a domain-specific variant of the GPT family of language models and is designed to generate fluent descriptions for biomedical terms.
Add a description, image, and links to the fairseq topic page so that developers can more easily learn about it.
To associate your repository with the fairseq topic, visit your repo's landing page and select "manage topics."