The impact of translation modality on user experience: an eye-tracking study of the Microsoft Word user interface [0.03%]
翻译模式对用户体验的影响：微软Word用户界面的眼动研究
Ana Guerberof Arenas,Joss Moorkens,Sharon O&#x;Brien
Ana Guerberof Arenas
This paper presents results of the effect of different translation modalities on users when working with the Microsoft Word user interface. An experimental study was set up with 84 Japanese, German, Spanish, and English native speakers work...
Read, spot and translate [0.03%]
阅读，定位和翻译
Lucia Specia,Josiah Wang,Sun Jae Lee et al.
Lucia Specia et al.
We propose multimodal machine translation (MMT) approaches that exploit the correspondences between words and image regions. In contrast to existing work, our referential grounding method considers objects as the visual unit for grounding, ...
Félix do Carmo,Dimitar Shterionov,Joss Moorkens et al.
Félix do Carmo et al.
This article presents a review of the evolution of automatic post-editing, a term that describes methods to improve the output of machine translation systems, based on knowledge extracted from datasets that include post-edited content. The ...
Dimitar Shterionov,Félix do Carmo,Joss Moorkens et al.
Dimitar Shterionov et al.
In a translation workflow, machine translation (MT) is almost always followed by a human post-editing step, where the raw MT output is corrected to meet required quality standards. To reduce the number of errors human translators need to co...
Iacer Calixto,Qun Liu
Iacer Calixto
In this article, we conduct an extensive quantitative error analysis of different multi-modal neural machine translation (MNMT) models which integrate visual features into different parts of both the encoder and the decoder. We investigate ...
A Conjoint Analysis Framework for Evaluating User Preferences in Machine Translation [0.03%]
基于联合分析的用户偏好吗的评估框架研究机器翻译
Katrin Kirchhoff,Daniel Capurro,Anne M Turner
Katrin Kirchhoff
Despite much research on machine translation (MT) evaluation, there is surprisingly little work that directly measures users' intuitive or emotional preferences regarding different types of MT errors. However, the elicitation and modeling o...