HCC: Small: Understanding and Supporting Communication Across Language Boundaries

HCC：小：理解和支持跨语言界限的沟通

• 批准号: 1318899
• 负责人: Susan Fussell
• 金额: $ 49.6万
• 依托单位: Cornell University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-09-01 至 2018-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1318899&HistoricalAwards=false
• 关键词: HCC; Small; Understanding; Supporting; Communication

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.

计算机介导的通信（CMC）工具和社交媒体有可能使人们在国民边界上流畅地互动，但语言边界仍然对交流构成挑战。机器翻译（MT）和其他技术的进步已经产生了新的工具，这些工具可以使人们可以使用其母语进行交流，但是当在对话设置中使用MT时，翻译错误会造成巨大的误解。拟议的研究的目的是通过使用其他信息（例如关键字突出显示或绘画表示）来更好地理解和支持说不同母语的人之间的交流。为了实现这一目标，该项目将（a）探讨使用MT与英语的使用如何影响语法沟通和协调； （b）迭代开发和测试新工具，这些工具为MT输出中的平滑差距提供了其他含义的表示； （c）在一系列精心控制的实验室研究中评估这些增强的MT工具在交流和协作中的价值。结果将有助于描绘新工具的设计和技术空间，以进行语法交流。 该项目将通过开发新的理论和对人们如何使用技术跨语言界限进行交流和协作的理解来为计算机介导的通信和计算机支持的合作工作的领域做出贡献。它将通过开发新技术和工具来增强机器翻译的输出，从而为人类计算机的互动和相关领域做出贡献。实验中产生的带注释的语言对话也将丰富机器翻译系统的开发。最后，这项工作将探讨有关实时关键字突出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边界提供沟通的新工具和知识，这些工具和知识将为研究界和公众广泛使用，从而提高人们在全球组织，个人组织，社交网站和其他国际形式的新媒体上与他人互动的能力。