RUI: Background and Methodology for the Representation and Manipulation of Linguistic Corpora

该项目的目标是为语料库和语料库中的语言信息的表示以及文本处理工具的设计开发一个可靠的基础和方法，用于基于语料库的自然语言处理（NLP）研究。这项工作是与法国普罗旺斯河畔艾克斯的语言和语言实验室合作进行的。项目内容包括：(1)分析基于语料库的自然语言处理研究的需求，包括所需标注的种类和程度，以及对高效处理、可访问性等方面的需求；(2)分析语料库的一般属性和配置，分析组成文本类型的相关结构和逻辑特征，设计编码机制，使其能够表示所有所需的元素和特征，同时适应(1)中确定的需求；(3)与(2)相协调的文本软件设计规范，旨在避免冗余，并最大限度地提高语料库处理软件的可修改性、可扩展性和可重用性。本项目开发的方法和材料将为基于语料库的NLP研究的大型语料库的机器表示和操作提供一个全面的框架，从而使软件和数据在未来能够轻松共享、使用和重用。

The goal of this project is to develop a sound basis and methodology for the representation of corpora and linguistic information in corpora, as well as for the design of text- handling tools, for use in corpus-based natural language processing (NLP) research. The work is undertaken in collaboration with the Laboratoire Parole et Langage in Aix-en- Provence, France. The project involves (1) analysis of the needs of corpus-based NLP research, both in terms of the kinds and degree of annotation required and the requirements for efficient processing, accessibility, etc.; (2) analysis of general properties and configuration of corpora, analysis of the relevant structural and logical features of component text types, and the design of encoding mechanisms that can represent all required elements and features while accomodating the requirements determined in (1); and (3) specifications for text software design, coordinated with (2), designed to avoid redundancy and maximize the modifiability, extendability, and reusability of corpus-handling software. The methods and materials developed in this project will provide a comprehensive framework for the machine representation and manipulation of large corpora for corpus-based NLP research, thus enabling both software and data to be easily shared, used, and re-used in the future.