12 citations · 19 across the 3 of their papers we have counts for
6 papers · 1 filter
On the Inference Calibration of Neural Machine Translation
Shuo Wang, Zhaopeng Tu, Shuming Shi +1
Confidence calibration, which aims to make model predictions equal to the true correctness measures, is important for neural machine translation (NMT) because it is able to offer u…
Incorporating Sememes into Chinese Definition Modeling
Liner Yang, Cunliang Kong, Yun Chen +3
Chinese definition modeling is a challenging task that generates a dictionary definition in Chinese for a given Chinese word. To accomplish this task, we construct the Chinese Defi…
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game
Yun Chen, Yang Liu, Victor O. K. Li
While end-to-end neural machine translation (NMT) has achieved notable success in the past years in translating a handful of resource-rich language pairs, it still suffers from the…
Asynchronous Bidirectional Decoding for Neural Machine Translation
Xiangwen Zhang, Jinsong Su, Yue Qin +3
The dominant neural machine translation (NMT) models apply unified attentional encoder-decoder neural networks for translation. Traditionally, the NMT decoders adopt recurrent neur…
Learning to Remember Translation History with a Continuous Cache
Zhaopeng Tu, Yang Liu, Shuming Shi +1
Existing neural machine translation (NMT) models generally translate sentences in isolation, missing the opportunity to take advantage of document-level information. In this work,…
A Teacher-Student Framework for Zero-Resource Neural Machine Translation
Yun Chen, Yang Liu, Yong Cheng +1
While end-to-end neural machine translation (NMT) has made remarkable progress recently, it still suffers from the data scarcity problem for low-resource language pairs and domains…