CRI:CRD Collaborative Research: General Techniques for Creating Treebanks with Multiple Representations: A Large-Scale Russian

CRI：CRD 协作研究：创建具有多重表示的树库的通用技术：大型俄罗斯树库

• 批准号: 0708719
• 负责人: Fei Xia
• 金额: $ 2.08万
• 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: 2007
• 资助国家: 美国
• 起止时间: 2007-05-01 至 2008-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0708719&HistoricalAwards=false
• 关键词: CRI; CRD; Collaborative; Research; General

The collaborating Principal Investigators from the University of Pennsylvania, University of Colorado, University of Washington, and Columbia University are performing preliminary investigations into the feasibility of creating a treebank with multiple representations including both dependency structure and phrase structure.Issues of interest include: * To what extent can the conversion between dependency and phrase structure be automated, and to what extent is hand correction necessary after automatic conversion? * How can we leverage experience from the creation of other treebanks? To address these issues, the collaborating team is convening a working meeting of international scholars who have actively worked on treebanks representing many different formalisms and languages. Building on previous results in the conversion of phrase structure treebanks to dependency structures, tree adjoining grammar structures and combinatory categorical structures, a set of experiments is performed demonstrating the feasibiity of generating phrase structure from dependency structure. This requires well defined phrase structure and dependency structure guidelines for the language in question, currently limited to English. Other languages with tested guidelines for one of the two formalisms include Chinese, Korean, and Arabic (phrase structure) or Czech, German, Dutch, and Russian (dependency structure). The team is extending their conversion experiments to one of these languages as well, creating the necessary additional guidelines in the process. They are sharing a qualitative evaluation of our results with the colleagues at the workshop, and discussing the suitability of further experiments and alternative languages, as input into a resubmission of the CRI proposal.

来自宾夕法尼亚大学、科罗拉多大学、华盛顿大学和哥伦比亚大学的合作首席研究员正在进行初步调查，以研究创建一个具有多种表示形式的树库的可行性，包括依存结构和短语结构。感兴趣的问题包括： * 依存关系和短语结构之间的转换在多大程度上可以自动化，自动转换后在多大程度上需要手工校正？ * 我们如何利用创建其他树库的经验？ 为了解决这些问题，合作团队正在召集一个国际学者的工作会议，这些学者积极致力于代表许多不同形式和语言的树库。 本文在前人将短语结构树库转换为依存结构、树邻接语法结构和组合范畴结构的基础上，进行了一系列实验，证明了从依存结构生成短语结构的可行性。 这就需要为所讨论的语言（目前仅限于英语）制定明确的短语结构和依存结构指南。 其他语言有两种形式主义之一的测试指南，包括中文，韩语和阿拉伯语（短语结构）或捷克语，德语，荷兰语和俄语（依赖结构）。 该团队正在将他们的转换实验扩展到这些语言中的一种，并在此过程中创建必要的附加指南。 他们正在与研讨会上的同事分享对我们结果的定性评估，并讨论进一步实验和替代语言的适用性，作为重新提交CRI提案的投入。