research
∙
03/12/2023
Fuzzy Alignments in Directed Acyclic Graph for Non-Autoregressive Machine Translation
Non-autoregressive translation (NAT) reduces the decoding latency but su...
share
research
∙
11/30/2022
Rephrasing the Reference for Non-Autoregressive Machine Translation
Non-autoregressive neural machine translation (NAT) models suffer from t...
research
∙
10/11/2022
Viterbi Decoding of Directed Acyclic Transformer for Non-Autoregressive Machine Translation
Non-autoregressive models achieve significant decoding speedup in neural...
research
∙
10/08/2022
Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation
Non-autoregressive translation (NAT) models are typically trained with t...
research
∙
05/28/2022
One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation
Non-autoregressive neural machine translation (NAT) suffers from the mul...
research
∙
03/08/2022
Overcoming Catastrophic Forgetting beyond Continual Learning: Balanced Training for Neural Machine Translation
Neural networks tend to gradually forget the previously learned knowledg...
research
∙
06/15/2021
Sequence-Level Training for Non-Autoregressive Neural Machine Translation
In recent years, Neural Machine Translation (NMT) has achieved notable r...
research
∙
06/12/2021
Guiding Teacher Forcing with Seer Forcing for Neural Machine Translation
Although teacher forcing has become the main training paradigm for neura...
research
∙
04/24/2021
Modeling Coverage for Non-Autoregressive Neural Machine Translation
Non-Autoregressive Neural Machine Translation (NAT) has achieved signifi...
research
∙
10/16/2020
Generating Diverse Translation from Model Distribution with Dropout
Despite the improvement of translation quality, neural machine translati...
research
∙
11/30/2019
Modeling Fluency and Faithfulness for Diverse Neural Machine Translation
Neural machine translation models usually adopt the teacher forcing stra...
research
∙
11/21/2019
Minimizing the Bag-of-Ngrams Difference for Non-Autoregressive Neural Machine Translation
Non-Autoregressive Neural Machine Translation (NAT) achieves significant...
research
∙
06/22/2019
Retrieving Sequential Information for Non-Autoregressive Neural Machine Translation
Non-Autoregressive Transformer (NAT) aims to accelerate the Transformer ...
research
∙
09/10/2018
