To facilitate effective translation modeling and translation studies, one of the crucial
questions to address is how to assess translation quality. From the perspectives of accuracy …

This paper presents the results of the WMT11 shared tasks, which included a translation
task, a system combination task, and a task for machine translation evaluation metrics. We …

Since the 1950s, machine translation (MT) has become one of the important tasks of AI and
development, and has experienced several different periods and stages of development …

We introduce the Machine Translation (MT) evaluation survey that contains both manual and
automatic evaluation methods. The traditional human evaluation criteria mainly include the …

This paper introduces the state-of-the-art machine translation (MT) evaluation survey that
contains both manual and automatic evaluation methods. The traditional human evaluation …

Abstract Machine translation (MT) has become increasingly important and popular in the
past decade, leading to the development of MT evaluation metrics aiming at automatically …

We introduce a lexicalized reordering model for hierarchical phrase-based machine
translation. The model scores monotone, swap, and discontinuous phrase orientations in the …

In this article we will describe the design and implementation of Jane, an efficient
hierarchical phrase-based (HPB) toolkit developed at RWTH Aachen University. The system …

In this paper we apply lightly-supervised training to a hierarchical phrase-based statistical
machine translation system. We employ bitexts that have been built by automatically …

自从1950 年代开始, 机器翻译成为人工智能研究发展的重要任务之一, 经历了几个不同时期和
阶段性发展, 包括基于规则的方法, 统计的方法, 和最近提出的基于神经网络的学习方法 …