U.S.-Germany Dissertation Enhancement: Predicting Hidden Structure and Punctuation in Speech for Machine Translation

美德论文增强：预测机器翻译语音中的隐藏结构和标点符号

• 批准号: 0552492
• 负责人: Mari Ostendorf
• 金额: $ 1.5万
• 依托单位: University of Washington
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-04-01 至 2007-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0552492&HistoricalAwards=false
• 关键词: U.S.; Germany; Dissertation; Enhancement; Predicting

This project will send Dustin Hillard, a graduate student at the University of Washington, to RWTH Aachen University for three months to conduct research for his doctoral dissertation in the field of machine translation. Mr. Hillard will collaborate with Professor Hermann Ney in Aachen and he will also collaborate with Professor Alex Waibel at the University of Karlsruhe. Professor Mari Ostendorf, the PI on this award, is Mr. Hillard's thesis advisor at the University of Washington.This research addresses two primary questions dealing with punctuation in machine translation: What information beyond the words can be given to a speech translation system to improve the translation quality in terms of evaluation of the translated words? How is the punctuation for the target language output best predicted? The experimental results will provide comprehensive comparisons of how punctuation and hidden prosodic structure interact with machine translation. In addition, unsupervised learning algorithms will be investigated for detecting hidden prosodic structure in the source language using syntactic side information and for communicating that structure to translation and target language output. Intellectual MeritThe research supported by this award is challenging and could potentially advance fundamental knowledge in machine translation. It represents an intellectually well-founded partnership between researchers in the U.S and researchers in Germany.Broader ImpactsSupport is provided for one graduate student to conduct research in Germany, thus providing a U.S. student with an international research experience. In addition, advances in machine translation will help communication in a multi-lingual world and could have applications to the commercial and national security sectors.

该项目将派华盛顿大学的研究生达斯汀·希拉德到RWTH亚琛大学进行为期三个月的机器翻译领域的博士论文研究。 希拉德先生将与亚琛的Hermann Ney教授合作，他还将与卡尔斯鲁厄大学的Alex Waibel教授合作。 该奖项的主要负责人、华盛顿大学的论文导师Mari奥斯滕多夫教授对机器翻译中的标点符号进行了研究。该研究主要解决了两个问题：在对翻译词进行评价时，可以向语音翻译系统提供哪些词以外的信息，以提高翻译质量？ 如何最好地预测目标语言输出的标点符号？ 实验结果将提供标点符号和隐藏韵律结构如何与机器翻译相互作用的全面比较。 此外，无监督学习算法将被调查用于检测隐藏的韵律结构在源语言中使用句法侧信息和通信结构的翻译和目标语言输出。 该奖项支持的研究具有挑战性，可能会推动机器翻译的基础知识。 它代表了美国研究人员和德国研究人员之间在智力上建立的良好伙伴关系。更广泛的影响为一名研究生在德国进行研究提供支持，从而为美国学生提供国际研究经验。 此外，机器翻译的进步将有助于多语言世界的交流，并可能应用于商业和国家安全部门。