Improving access to multi-lingual health information through machine translation

通过机器翻译改善多语言健康信息的获取

• 批准号: 7946175
• 负责人: Katrin Kirchhoff
• 金额: $ 37.07万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-30 至 2015-09-29
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7946175
• 关键词: Achievement; Address; Affect; Area; Arts; Benchmarking; Child; Cognitive; Communities; Computational algorithm; Country; Decision Making; Disasters; Disease Outbreaks; Evaluation; Evaluation Studies; Foundations; Funding; Future; Generic Drugs; Goals; Health; Health Communication; Health Professional; Healthcare; Home environment; Improve Access; Individual; Information Services; Language; Life; Measures; Modeling; Natural Language Processing; Outcome; Population; Process; Production; Public Health; Public Health Practice; Readiness; Regulation; Research; Safe Sex; System; Taxonomy; Techniques; Technology; Time; Translating; Translation Process; Translations; Trust; United States; United States National Library of Medicine; Update; Vaccinated; Work; Writing; base; cost; design; flu; health disparity; health literacy; improved; insight; meetings; member; novel; portability; prototype; usability

DESCRIPTION (provided by applicant): The results of our proposed research will extend the usability of MT in healthcare and serve as a foundation for further research into improving the availability of health materials for individuals with Limited English Proficiency. Our description of public health translation work from Aim 1 will provide new understanding of existing barriers to translation. The error analysis from Aim 2 will identify specific focus areas for improving MT. Aim 3 will provide fundamentally new MT technology designed to adapt generic systems to the health domain, as well as a prototype implementation of a domain-adapted post-processing module. The evaluation studies in Aim 4 will provide a model for evaluation of machine translation technologies and provide benchmarks from which to evaluate advances in the machine translations for health materials in the future. Ultimately, this work will advance us towards the long term goal of eliminating health disparities caused by language barriers and improve access to pertinent multilingual health information for those with limited English proficiency. Review CriteriaSignificanceInvestigator(s)InnovationApproachEnvironmentReviewer 121321Reviewer 212121Reviewer 333453

描述（由申请人提供）：我们拟议的研究的结果将扩展MT在医疗保健中的可用性，并为进一步研究的基础，以改善英语能力有限的个人的健康材料的可用性。我们对AIM 1的公共卫生翻译工作的描述将为现有的翻译障碍提供新的了解。来自AIM 2的错误分析将确定改善MT的特定重点领域。 AIM 3将提供从根本上提供新的MT技术，旨在将通用系统调整到健康领域，并提供针对域适应的后处理模块的原型实现。 AIM 4中的评估研究将提供一个用于评估机器翻译技术的模型，并提供基准，以评估将来的医疗材料机器翻译的进步。最终，这项工作将使我们迈向消除由语言障碍造成的健康差异的长期目标，并改善英语能力有限的人获得相关的多语言健康信息。 审查标准criteriasemanceInvestigator（S）InnovationApphifeChiractenvironmentReviewer 121321 Reviewer 212121 Reviewer 333453