Automatic Processing of Spoken and Written Lecture Material

口语、书面授课材料自动处理

• 批准号: 0415865
• 负责人: Regina Barzilay
• 金额: $ 82.5万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-10-01 至 2008-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0415865&HistoricalAwards=false
• 关键词: Automatic; Processing; Spoken; Written; Lecture

In the past decade, we have seen a dramatic increase in the availability ofon-line academic lecture material. It is conspicuous, however, that in contrastto many other communicative activities, lecture processing has until nowenjoyed little benefit from the development of human language technology. Thegoal of this proposal is to enable fast, accurate and easy access to lecturecontent. We will develop new technologies in the area of speech recognition,structure induction and summarization.Our work will contribute to a better understanding of the relationship betweenwritten and spoken language, a long standing issue in linguistics which hasseen limited empirical research. Our research will rectify this situation byan extensive corpus-based study of this relationship at different levels,ranging from vocabulary to discourse variations.The tools we propose to develop will be integrated and tested in the frameworkof the MIT Open CourseWare Initiative, a large publicly available on-linerepository of teaching material from 500 MIT courses. In addition, wewill also incorporate our tools in the Liberated Learning Initiative, whichworks on the integration of students with disabilities in mainstream highereducation.

在过去的十年中，我们看到在线学术讲座材料的可用性急剧增加。然而，值得注意的是，与许多其他交际活动相比，讲座处理迄今为止几乎没有从人类语言技术的发展中受益。 该提案的目标是能够快速、准确且轻松地访问讲座内容。 我们将开发语音识别、结构归纳和摘要领域的新技术。我们的工作将有助于更好地理解书面语言和口语之间的关系，这是语言学中长期存在的问题，但实证研究有限。 我们的研究将通过对这种关系在不同层面（从词汇到话语变化）进行广泛的基于语料库的研究来纠正这种情况。我们建议开发的工具将在麻省理工学院开放课件计划的框架内进行集成和测试，该计划是一个大型公开在线存储库，包含来自 500 门麻省理工学院课程的教材。此外，我们还将把我们的工具纳入“解放学习计划”中，该计划致力于将残疾学生融入主流高等教育。