ITR: Collaborative Research: Interlingual Annotation of Multilingual Text Corporation

ITR：协作研究：多语言文本公司的语际注释

• 批准号: 0325887
• 负责人: Kathleen McKeown
• 金额: $ 26.87万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0325887&HistoricalAwards=false
• 关键词: ITR; Collaborative; Research; Interlingual; Annotation

This multi-site research effort is aimed at developing a coherent, consistent, standardized Interlingual representation along with a methodology and sharable tools for annotating large bilingual corpora of parallel texts. It has four central components: First, six corpora are being compiled, each consisting of a number of texts in a particular source language along with three translations of each text into English. Second, a standardized interlingual representation is being developed based on a comparative analysis of these parallel text corpora. Third, the bilingual corpora are being annotated using the standardized interlingua and following a predefined annotation procedure. Fourth, metrics are being developed for evaluating the accuracy and appropriateness of the interlingual representations in terms of the grain size of the representation given a particular task. The metrics are based on inter-coder reliability, the growth rate of the interlingual representation, and quality of the target language text that is be generated from the interlingua. The resulting annotated, multilingual, parallel corpora will be useful as an empirical basis for developing a wide variety of interlingual NLP systems for tasks such as machine translation, question answering, web searching, summarization, or presentation generation, as well as a host of other research and development efforts in theoretical and applied linguistics, foreign language pedagogy, translation studies, and other related disciplines. The participants include CRL at NMSU, ISI at USC, UMIACS at the University of Maryland, LTI at CMU, Columbia University, and The MITRE Corporation. The source languages include Arabic, Chinese, French, Hindi, Japanese, Spanish and English.

这个多站点的研究工作的目的是开发一个连贯的，一致的，标准化的语际表示沿着的方法和共享的工具，注释大型双语语料库的平行文本。它有四个核心组成部分：首先，正在编制六个语料库，每个语料库由特定源语言的若干文本组成，沿着每个文本的三个英文译本。 其次，一个标准化的语际表示正在开发的基础上，这些平行文本语料库的比较分析。第三，双语语料库使用标准化的中间语进行注释，并遵循预定义的注释程序。第四，正在开发的指标，用于评估的准确性和适当的语际表示的粒度表示给定的特定任务。这些指标基于编码器间的可靠性、语际表示的增长率以及从语际生成的目标语言文本的质量。由此产生的注释，多语言，平行语料库将是有用的经验基础，为开发各种各样的语际NLP系统的任务，如机器翻译，问答，网络搜索，摘要，或演示文稿生成，以及在理论和应用语言学，外语教学，翻译研究和其他相关学科的其他研究和开发工作。参与者包括NMSU的CRL、USC的ISI、马里兰州大学的UMIACS、CMU的LTI、哥伦比亚大学和MITRE公司。源语言包括阿拉伯语、中文、法语、印地语、日语、西班牙语和英语。