Collaborative Research: CRI: An Open Linguistic Infrastructure for American English

合作研究：CRI：美式英语的开放语言基础设施

• 批准号: 0551531
• 负责人: Christiane Fellbaum
• 金额: --
• 依托单位: Princeton University
• 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: 2006-03-01 至 2008-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0551531&HistoricalAwards=false
• 关键词: Collaborative; Research; CRI; Open; Linguistic

This project, supporting research into computational linguistics, plans the enhancing of the American National Corpus (ANC) with an open linguistic infrastructure that will add multiple manual and automatic annotations to a portion of ANC and will provide free access to these annotations in a common XML data format via a project website. The following activities are envisioned:-Incorporation of automatic annotations derived from freely existing tools, mapped into the ANC XML format language,-Syntactic and named entity annotations of a 10Mw gold standard corpus, with partial manual annotation,-Hand-corrected automatic WordNet and FrameNet annotation for a portion of the gold standard corpus,-Enhancement of automatic annotation performance via experimentation with machine learning techniques, and-Development of a web interface for users to download above annotations, and to upload new annotation of ANC.This work, describing methods for internal and external evaluation of the resources and tools developed, plans to create a richly, multiple annotated diverse corpus of natural language, and tools to access it. The full project would be the first large-scale execution of such effort, developing a 100 million word ANC and providing a 10-million word subset, annotated with syntax, named entities, and semantic categories in WordNet (WN) and FrameNet (FN). The annotated data will be balanced from different genres of text. One of the activities of the planning award consists in harmonizing all three resources, ANC, WN, and FN, and maximally exploiting their respective strengths. The other involves the continued development of the ANC, which, with the addition of a wide range of linguistic annotations, will serve as a resource for language processing research and applications for the NLP community. The planning project undertakes the following activities:-Creation and annotation of WN senses and FN frames,-Planning meetings, -Further research into experimentation with methods and software to enhance automatic annotation, and-Outreach to the US computational linguistics community.Broader Impact: Full completion of this work will further enhance the ANC by creating a comprehensive linguistic infrastructur for American English. The availability of a massive, richly annotated corpus of American English has impacts at many levels and across several areas, including computational linguistics and natural language processing, corpus linguistics, cross-linguistic studies, dialect studies, language acquisition, and materials development for both English language students and teacher training.

该项目支持对计算语言学的研究，计划通过开放的语言基础架构增强美国国家语料库（ANC），该基础架构将为ANC的一部分增加多个手动和自动注释，并通过项目网站以通用的XML数据形式免费访问这些注释。 The following activities are envisioned:-Incorporation of automatic annotations derived from freely existing tools, mapped into the ANC XML format language,-Syntactic and named entity annotations of a 10Mw gold standard corpus, with partial manual annotation,-Hand-corrected automatic WordNet and FrameNet annotation for a portion of the gold standard corpus,-Enhancement of automatic annotation performance via experimentation with machine learning Web界面的技术和开发，供用户下载上述注释，并上传ANC的新注释。这项工作，描述了开发的资源和工具的内部和外部评估方法，计划创建一种丰富的，多个注释的自然语言的多元化多样性的语料库，以及访问它的工具。完整的项目将是这样的努力的第一个大规模执行，开发了1亿个单词ANC，并提供了1000万个单词子集，并用语法，命名实体注释，在WordNet（WN）和Framenet（FN）中提供语义类别。带注释的数据将从不同类型的文本中平衡。规划奖的活动之一是协调所有三个资源，即ANC，WN和FN，并最大程度地利用其各自的优势。另一个涉及ANC的持续发展，随着添加广泛的语言注释，它将作为NLP社区语言处理研究和应用程序的资源。该计划项目进行以下活动： - 对WN感官和FN框架的创造和注释， - 平面会议， - 通过方法和软件对实验进行研究，以增强自动注释，并对美国计算语言学社区进行自动注释，并对这项工作的全面启动来增强ANC的完整范围，以增强全面的英语结构。美国英语的大量，丰富注释的语料库的可用性在许多层面和多个领域都产生了影响，包括计算语言学和自然语言处理，语料库语言学，跨语言研究，方言研究，语言习得，语言习得以及英语语言学生和教师培训的材料发展。