research
∙
06/05/2022
Multilingual Neural Machine Translation with Deep Encoder and Multiple Shallow Decoders
Recent work in multilingual translation advances translation quality sur...
share
research
∙
06/01/2021
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation
Is bias amplified when neural machine translation (NMT) models are optim...
research
∙
05/31/2021
Adapting High-resource NMT Models to Translate Low-resource Related Languages without Parallel Data
The scarcity of parallel data is a major obstacle for training high-qual...
research
∙
04/16/2021
Investigating Failures of Automatic Translation in the Case of Unambiguous Gender
Transformer based models are the modern work horses for neural machine t...
research
∙
02/08/2021
Quality Estimation without Human-labeled Data
Quality estimation aims to measure the quality of translated content wit...
research
∙
05/24/2019
A Call for Prudent Choice of Subword Merge Operations
Most neural machine translation systems are built upon subword units ext...
research
∙
12/10/2018
Low Resource Multi-modal Data Augmentation for End-to-end ASR
We explore training attention-based encoder-decoder ASR for low-resource...
research
∙
09/06/2018
Character-Aware Decoder for Neural Machine Translation
Standard neural machine translation (NMT) systems operate primarily on w...
research
∙
03/30/2018
ESPnet: End-to-End Speech Processing Toolkit
This paper introduces a new open source platform for end-to-end speech p...
research
∙
03/27/2018
