HCC: Small: Understanding and Supporting Communication Across Language Boundaries

计算机媒介通信（CMC）工具和社会媒体有可能使人们跨越国界流畅地互动，但语言界限仍然对通信构成挑战。机器翻译（MT）和其他技术的进步已经产生了新的工具，可以让人们使用母语进行交流，但是当机器翻译在会话环境中使用时，翻译错误会产生相当大的误解。本研究的目的是为了更好地理解和支持说不同母语的人之间的交流，通过使用其他信息来增强机器翻译输出，如关键词突出显示或图形表示。为了实现这一目标，该项目将(a)探索MT与英语的使用如何影响语际沟通和协调；(b)迭代开发和测试新工具，提供额外的意义表示，以平滑机器翻译输出中的空白；(c)在一系列精心控制的实验室研究中评估这些增强的MT工具在沟通和协作方面的价值。研究结果将有助于描述用于跨语言交流的新工具的设计和技术空间。该项目将通过发展关于人们如何使用技术进行跨语言交流和协作的新理论和理解，为计算机媒介通信和计算机支持的合作工作领域做出贡献。它将通过开发新的技术和工具来提高机器翻译的输出，为人机交互和相关领域做出贡献。实验中产生的带注释的语际对话也将丰富机器翻译系统的发展。最后，本研究将探讨实时关键字高亮显示和多语言图片检索的新技术问题。该项目还将为跨语言交流提供新的工具和知识，这些工具和知识将广泛提供给研究界和公众，从而提高人们在全球组织和个人层面、在社交网站和其他国际形式的新媒体上跨语言交流的能力。

Computer-mediated communication (CMC) tools and social media have the potential to allow people to interact fluidly across national boundaries but linguistic boundaries still pose challenges to communication. Advances in machine translation (MT) and other technologies have resulted in new tools that could allow people to communicate with one another using their native language, but translation errors create sizeable misunderstandings when MT is used in conversational settings. The goal of the proposed research is to better understand and support communication between people who speak different native languages by enhancing MT output with other information, such as keyword highlighting or pictorial representations. To achieve this goal, the project will (a) explore how the use of MT vs. English affects inter-lingual communication and coordination; (b) iteratively develop and test new tools that provide additional representations of meaning to smooth gaps in MT output; and (c) assess the value of these enhanced MT tools for communication and collaboration in a series of carefully controlled laboratory studies. The results will help delineate the design and technical space for new tools for inter-lingual communication. The project will contribute to the fields of computer-mediated communication and computer-supported cooperative work by developing new theories and understandings of how people use technology to communicate and collaborate across language boundaries. It will contribute to human-computer interaction and related fields through the development of new techniques and tools for enhancing the output of machine translation. The annotated inter-lingual dialogues generated in experiments will also enrich the development of machine translation systems. Finally, the work will explore new technical issues around real-time keyword highlighting and multilingual picture retrieval. The project will also provide new tools and knowledge for communication across language boundaries that will be made widely available to the research community and general public, thus improving people's ability to engage with others across language boundaries, in global organizations and at the personal level, on social network sites and other international forms of new media.