ITR: American National Corpus: A Primary Resource for Linguistics Research

ITR：美国国家语料库：语言学研究的主要资源

• 批准号: 0218609
• 负责人: Nancy Ide
• 金额: $ 28.51万
• 依托单位: Vassar College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2002
• 资助国家: 美国
• 起止时间: 2002-09-01 至 2005-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0218609&HistoricalAwards=false
• 关键词: ITR; American; National; Corpus; Primary

With National Science Foundation support, Drs. Nancy Ide and Randi Reppen will conduct a three-year project to annotate extensively a 10-million word portion of the American National Corpus (ANC). The ANC consists of both spoken and written language from North America across a range of registers, such as planned speeches, conversations, fiction, and newspapers. This research project uses techniques from both computational linguistics and corpus linguistics to annotate the ANC for a range of grammatical and semantic characteristics. Specifically the project seeks to accomplish three major objectives: 1) develop automatic tools for annotating various elements and structures in the corpus; 2) create a 'gold standard' portion of the ANC, consisting of 10 million words in which the markup, annotation, and parts of speech have been hand-validated; and 3) describe the conceptual and meaning relations among words in the ANC within the framework of the 'semantic web', thus greatly enhancing analysis and retrieval capabilities. The investigators are to carry out this research through a variety of software programs (many created specifically for this project), and through extensive human/computer interaction to hand-validate the computer assigned labels. This research project is important for several reasons. First, the resulting corpus will be the first publicly available tagged corpus of spoken and written American English. Second, because the annotation of the corpus will be hand-validated, the resulting product will approach 100% accuracy. With this carefully annotated 10-million word corpus, language researchers will be able to address a number of structural and linguistic relationships across texts that previously could not be addressed. Since the corpus will be hand-validated, researchers can use this information to develop models for processing previously unseen texts. The ANC corpus will be readily available to researchers via the web. In addition to the annotated corpus, the project will make available to researchers a suite of tools designed to retrieve information from the corpus.

在美国国家科学基金会的支持下，南希·艾德和兰迪·雷彭博士将进行一个为期三年的项目，对美国国家语料库（ANC）的1000万字部分进行广泛的注释。 ANC由北美的口头和书面语言组成，涵盖一系列领域，如计划演讲，对话，小说和报纸。 本研究项目使用计算语言学和语料库语言学的技术来注释ANC的一系列语法和语义特征。 具体来说，该项目旨在实现三个主要目标：1）开发自动工具，用于注释语料库中的各种元素和结构; 2）创建ANC的“黄金标准”部分，由1000万个单词组成，其中标记，注释和词性都经过手工验证; 3）在语义网的框架内描述了ANC中词与词之间的概念和意义关系，从而大大提高了分析和检索能力。 研究者将通过各种软件程序（许多是专门为此项目创建的）进行本研究，并通过广泛的人机交互手动验证计算机分配的标签。这个研究项目很重要，有几个原因。首先，所产生的语料库将是第一个公开可用的标记语料库的口语和书面美国英语。 其次，由于语料库的注释将经过手工验证，因此最终产品的准确率将接近100%。有了这个经过仔细注释的1000万字语料库，语言研究人员将能够解决以前无法解决的文本之间的许多结构和语言关系。 由于语料库将被手动验证，研究人员可以使用这些信息来开发处理以前看不见的文本的模型。ANC语料库将通过网络随时提供给研究人员。 除了注释的语料库外，该项目还将向研究人员提供一套工具，用于从语料库中检索信息。