84 citations · 274 across the 15 of their papers we have counts for
4 papers · 1 filter
Dynamic Curriculum Learning for Low-Resource Neural Machine Translation
Chen Xu, Bojie Hu, Yufan Jiang +6
Large amounts of data has made neural machine translation (NMT) a big success in recent years. But it is still a challenge if we train these models on small-scale corpora. In this…
Code-switching pre-training for neural machine translation
Zhen Yang, Bojie Hu, Ambyera Han +2
This paper proposes a new pre-training method, called Code-Switching Pre-training (CSP for short) for Neural Machine Translation (NMT). Unlike traditional pre-training method which…
FastBERT: a Self-distilling BERT with Adaptive Inference Time
Weijie Liu, Peng Zhou, Zhe Zhao +3
Pre-trained language models like BERT have proven to be highly performant. However, they are often computationally expensive in many practical scenarios, for such heavy models can…
A Multi-oriented Chinese Keyword Spotter Guided by Text Line Detection
Pei Xu, Shan Huang, Hongzhen Wang +3
Chinese keyword spotting is a challenging task as there is no visual blank for Chinese words. Different from English words which are split naturally by visual blanks, Chinese words…