SBIR Phase I: Handheld Devices for Practical Simultaneous Translation

SBIR 第一阶段：用于实用同声翻译的手持设备

• 批准号: 2212978
• 负责人: Drew Penney
• 金额: $ 25.6万
• 依托单位: LEXEL SYNERGETICS, INC.
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212978&HistoricalAwards=false
• 关键词: SBIR; Phase; Handheld; Devices; Practical

The broader impact of this Small Business Innovation Research (SBIR) Phase I project on a handheld simultaneous translator advances the state-of-the-art technologies in natural language processing and machine learning acceleration. Beyond technical contributions, the novel translator will likely have a significant impact on a wide range of domains, such as military personnel deployed in foreign countries, businesspeople participating in multilingual meetings, medical service providers, law enforcement, customer support services, diplomats and political representatives, local governmental entities providing services to citizens in the preferred language, and international tourists. As such, the project will have broader impacts in increasing economic competitiveness, advancing health and welfare, and improving military capabilities of the United State. Furthermore, the project helps to enhance equity in education and STEM literacy by enabling better access to educational resources to people of diverse backgrounds, especially immigrants, women, and underrepresented minorities in some countries/regions, who were previously disadvantaged due to limited prior educational access or limited access to foreign language courses.This Small Business Innovation Research (SBIR) Phase I project focuses on the research and development of innovative algorithmic optimizations and a purpose-built translation device to enable fast, accurate and low-power inference for simultaneous translation. The overall approach is to exploit the unspoken but implied connections among language elements at various levels to guide the learning model. Specific techniques are investigated at the phoneme-level, work-level, and sentence-level. Collectively, these innovations aim to reduce the computation complexity of simultaneous translation by orders of magnitude while increasing translation accuracy. A systematic and comprehensive methodology is also being established that allows fast implementation of the inference hardware via high-level synthesis and reports detailed statistics on translation accuracy, latency, power, and area to facilitate a thorough evaluation of the research.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

这项小型企业创新研究（SBIR）I阶段项目对手持式翻译人员的更广泛影响将在自然语言处理和机器学习加速方面的最新技术发展。除技术贡献外，新颖的翻译人员还可能会对各种领域产生重大影响，例如部署在国外的军事人员，参加多语言会议，医疗服务提供者，执法人员，客户支持服务，外交官和政治代表，当地政府实体，为公民提供优先语言和国际旅游家提供服务的地方政府实体。因此，该项目将对增强经济竞争力，提高健康和福利以及提高美国军事能力的影响会产生更大的影响。 Furthermore, the project helps to enhance equity in education and STEM literacy by enabling better access to educational resources to people of diverse backgrounds, especially immigrants, women, and underrepresented minorities in some countries/regions, who were previously disadvantaged due to limited prior educational access or limited access to foreign language courses.This Small Business Innovation Research (SBIR) Phase I project focuses on the research and development of innovative algorithmic优化和专用的翻译设备，可快速，准确和低功率推断，以同时翻译。总体方法是利用各个级别的语言元素之间的不言而喻但隐含的联系来指导学习模型。在音素级别，工作级别和句子级别上研究了特定技术。总的来说，这些创新旨在通过数量级来降低同时翻译的计算复杂性，同时提高翻译精度。还建立了一种系统和全面的方法，该方法可以通过高级合成来快速实施推理硬件，并报告了有关翻译准确性，潜伏期，权力和领域的详细统计数据，以促进对研究的彻底评估。本奖颁发奖项，反映了NSF的法定任务，并通过使用基础的智力效果评估了NSF的法定任务，并被认为是值得通过评估的支持。