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: 0551601
• 负责人: Nancy Ide
• 金额: --
• 依托单位: Vassar College
• 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 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0551601&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.

该项目支持计算语言学研究，计划通过开放语言基础设施增强美国国家语料库 (ANC)，该基础设施将为 ANC 的一部分添加多个手动和自动注释，并通过项目网站以通用 XML 数据格式免费提供对这些注释的访问。设想进行以下活动：-合并源自自由现有工具的自动注释，映射到 ANC XML 格式语言，-10Mw 黄金标准语料库的语法和命名实体注释，部分手动注释，-对黄金标准语料库的一部分进行手工更正的自动 WordNet 和 FrameNet 注释，-通过机器学习实验增强自动注释性能 技术，以及-开发一个网络界面，供用户下载上述注释，并上传 ANC 的新注释。这项工作描述了对所开发的资源和工具进行内部和外部评估的方法，计划创建一个丰富的、多注释的多样化自然语言语料库以及访问它的工具。完整的项目将是此类工作的首次大规模执行，开发 1 亿个单词的 ANC 并提供 1000 万个单词的子集，用 WordNet (WN) 和 FrameNet (FN) 中的语法、命名实体和语义类别进行注释。带注释的数据将从不同类型的文本中进行平衡。规划奖的活动之一在于协调所有三种资源：ANC、WN 和 FN，并最大限度地利用它们各自的优势。另一个涉及 ANC 的持续开发，加上广泛的语言注释，将作为 NLP 社区语言处理研究和应用的资源。该规划项目开展以下活动：-WN 语义和 FN 框架的创建和注释，-规划会议，-进一步研究增强自动注释的方法和软件实验，以及-向美国​​计算语言学界进行推广。 更广泛的影响：这项工作的全面完成将通过为美式英语创建全面的语言基础设施来进一步增强 ANC。大量、注释丰富的美式英语语料库的可用性在多个层面和多个领域产生了影响，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、语言习得以及英语学生和教师培训的材料开发。