The quality of automatic metrics for machine translation has been increasingly called into
question, especially for high-quality systems. This paper demonstrates that, while choice of …

We present a large scale study of the languages spoken by bilingual workers on Mechanical
Turk (MTurk). We establish a methodology for determining the language skills of anonymous …

Crowdsourcing involves the outsourcing of processes previously conducted by
professionals in structured ways to communities and crowds using innovative workflows in …

The notion of translation features widely in a variety of disciplines, but it is also well known
outside of academia as a concept that can be applied in a wide range of societal contexts …

Crowdsourcing is a viable mechanism for creating training data for machine translation. It
provides a low cost, fast turnaround way of processing large volumes of data. However …

We present a widely applicable methodology to bring machine translation (MT) to under-
resourced languages in a cost-effective and rapid manner. Our proposal relies on web …

Crowdsourcing makes it possible to create translations at much lower cost than hiring
professional translators. However, it is still expensive to obtain the millions of translations …

We re-assess the impact brought by a set of widely-used SMT models and techniques by
means of human evaluation. These include different types of development sets …

以交互式机器翻译(IMT) 为研究背景, 针对用户在翻译过程中调用双语查词而导致的鼠标-
键盘频繁切换的问题, 提出了一种面向翻译查词行为的预测模型. 该模型将查词行为转化为当前 …

Automatic translation tools have facilitated navigating multilingual contexts, by providing
accessible shortcuts for gathering, processing, and spreading information. As language …