CARD: Corpus Analysis Resources for Discourse

这是三所大学(哥伦比亚大学、罗切斯特大学和匹兹堡大学)合作构建、评估和传播语料库分析资源(CARD)的努力。其目标是为在不同类型的语料库内和跨不同类型的语料库对语言使用进行大规模、强有力的分析提供手段。CARD的三个组成部分是语篇注释语言(DAL)，用于直接在语篇语料库中编码与语言使用有关的信息；DAL注释中可变性程度的可靠性度量；以及DAL注释语料库，该语料库在情态、参与者数量、领域和交际任务方面存在差异。DAL遵循文本编码计划指南，并以标准通用标记语言实现，以促进常见的创作和编辑实用程序。DAL是一种模块化语言，有五层语言表示：形态句法、韵律、回指、词汇和节段。

This is a collaborative effort among three universities (Columbia, Rochester, and Pittsburgh) to construct, evaluate, and disseminate a package of Corpus Analysis Resources for Discourse (CARD). The goal is to provide the means for a large-scale, robust analysis of language use, both within and across distinct types of discourse corpora. The three components of CARD are a Discourse Annotation Language (DAL) to encode information pertaining to language use directly within discourse corpora; reliability measures of the degree of variability in DAL annotations; and a library of DAL-annotated corpora, varying in modality, number of participants, domain, and communicative task. DAL follows the Text Encoding Initiative guidelines and is implemented in Standard Generalized Markup Language to facilitate common authoring and editing utilities. DAL is a modular language with five layers of linguistic representation: morpho-syntactic, prosodic, anaphoric, lexical, and segmental.