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让人们跨越国界进行流畅的互动，但语言边界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，可以让人们使用他们的母语相互交流，但当MT用于对话环境时，翻译错误会造成相当大的误解。拟议研究的目标是更好地理解和支持讲不同母语的人之间的沟通，通过增强机器翻译输出与其他信息，如关键字突出显示或图形表示。为了实现这一目标，该项目将（a）探索使用机器翻译与使用英语如何影响语际交流和协调;（B）反复开发和测试新工具，提供额外的意义表示，以消除机器翻译输出中的差距;（c）在一系列严格控制的实验室研究中评估这些增强的机器翻译工具对交流和合作的价值。研究结果将有助于为跨语言交流的新工具划定设计和技术空间。 该项目将通过发展新的理论和理解人们如何使用技术跨越语言界限进行沟通和合作，为计算机介导的沟通和计算机支持的合作工作领域做出贡献。它将通过开发提高机器翻译产出的新技术和工具，为人机交互和相关领域作出贡献。实验中生成的带注释的语际对话也将丰富机器翻译系统的发展。最后，这项工作将围绕实时关键字突出显示和多语言图片检索探索新的技术问题。该项目还将为跨语言交流提供新的工具和知识，并将向研究界和公众广泛提供，从而提高人们在全球组织和个人层面、社交网站和其他国际形式的新媒体上与他人进行跨语言交流的能力。