In this paper we demonstrate our (OPPO’s) machine translation systems for the WMT20
Shared Task on News Translation for all the 22 language pairs. We will give an overview of the …

Speaker voices exhibit acoustic variation. Our preliminary experiments reveal that normalized
voice can significantly improve end-to-end speech translation. To mitigate the negative …

Manifold’s English-Chinese System at WMT22 is an ensemble of 4 models trained by different
configurations with scheduled sampling-based fine-tuning. The four configurations are …

The software on the internet called internet ware is increasing rapidly. The internet ware has
the characteristics of self-adaptation, dynamic collaboration, open, online evolution and …

Neural machine translation (NMT) systems trained on clean data usually suffer from
performance degradation when translating noisy inputs. Existing works attempt to improve the …

In a multi-agent system, the agents have the capability to work collaboratively to solve the
complex task. In recent years social computing provides a new perspective for multi-agent …

In this paper, we present our submission to the bilingual machine translation task of CCMT
2024 for the Chinese ↔ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{…

In the field of Internet of Things (IoT), with the emergence of intelligent sensors (also called
mote) which are programmable and have certain capabilities of computation and …

This paper demonstrates our machine translation systems for the CCMT 2020, which is
composed of four parts. The last three parts report our results in the contest, each respectively …

In this paper, we demonstrate our machine translation system applied for the Chinese-Japanese
bidirectional translation task (aka. open domain translation task) for the IWSLT 2020. …