Computational analysis of child language transcript data

摘要 儿童语言数据交换系统(CHILDES)项目旨在扩大和 通过提供新的方法来加深我们对语言发展的科学理解 分析现实世界中的面对面互动。以前的计算工具 在项目的前几个阶段制定的主要方法 第一次自发使用发展的新的实证研究基础 语言。这项工作已经发表了8000多篇文章，考察了各个方面 语言发展，包括单词学习、语音学习、语法学习 发展和交流发展。所有程序和数据集都是 通过网络提供，不向研究人员收费。该数据库已被 使用这些工具收集的数据现在是可用的最大的口语数据库 任何地方都行。然而，我们可以通过以下方式实现更高的效率和分析精度 构建更强大的计算工具。该项目的下一阶段将 开发新的技术来支持语言研究中的分析方法 发展。这些方法包括计算机辅助快速转录 交互、在家中制作的全天录音的二值化、自动 词法和句法结构分析，用于搜索的简单用户界面， 基于Web支持研究小组之间的协作评论，构建 标准比较组规范，以及不同数据之间移动数据的方法 用于替代分析的程序。此外，我们将推广该数据库的使用 通过构建基于网络的教程和程序，通过提高当前用户 并通过举办研讨会和在会议上发言的方式。

Summary The Child Language Data Exchange System (CHILDES) Project seeks to broaden and deepen our scientific understanding of language development by providing new ways of analyzing real world face-to-face interactions. The computational tools that had been developed in the previous phases of the project constitute the primary methodological basis for new empirical research on the development of spontaneous use of a first language. This work has resulted in over 8000 published articles examining all aspects of language development, including word learning, sound learning, grammatical development, and communicative development. All of the programs and data sets are provided over the web without charge to researchers. The database that has been collected using these tools is now the largest spoken language database available anywhere. However, we can achieve still greater efficiency and analytic precision by building even more powerful computational tools. The next phase of this project will develop new techniques to support analytic methods in the study of language development. These methods include rapid computer-assisted transcription of interactions, diarization of daylong audio recordings made in the home, automatic analysis of morphological and syntactic structures, a simple user interface for searches, web-based support for collaborative commentary between research groups, construction of standard comparison group norms, and methods for moving data between different programs for alternative analyses. In addition, we will promote the use of the database and programs by constructing web-based tutorials, by improving the current user interface, and by conducting workshops and presentations at conferences.