Effects of input quality on ASL vocabulary acquisition in deaf children

家长资助的目标是了解幼儿时期的语言输入如何影响词汇 以美国手语(ASL)进行收购。作为家长资助的一部分，我们开发了三个ASL 对年幼失聪儿童的评估。其中一个最初打算在网上发布并公开发布 作为母公司赠款(ASL-CDI 2.0)的一项主要倡议提供，另外两项计划旨在成为 亲自交付(EEAT和ERAT)。因为新冠肺炎，管理EEAT和ERAT 变得笨拙，需要另一种交付它们的方法。作为美国国家科学基金会资助的项目的一部分，我们 已经开发了一个名为SignLab的平台，用于收集和编码特定研究的视频数据。 本附录的具体目的是1)使用SignLab的代码库将其从单一用途转换为 将产品转化为研究人员可用来收集和编码各种视频数据的平台，2)使用SignLab 提供EEAT和ERAT，以及3)使研究人员和临床医生能够访问、管理和跟踪 来自EEAT和ERAT的结果。这个软件有两个用途。它将在以下方面消除重大障碍 手语研究领域，使大规模机器可读的开发变得更加高效 手语数据集。此外，绝大多数失聪儿童有语言迟缓的危险 获取，并使EEAT和ERAT广泛可用将有助于临床医生、州政府和研究人员 在干预措施最有效的时候及早发现语言延迟。

The goal of the parent grant is to understand how language input during early childhood affects vocabulary acquisition in American Sign Language (ASL). As part of the parent grant, we have developed three ASL assessments for young deaf children. One was originally intended to be delivered online and made publicly available as a major initiative in the parent grant (the ASL-CDI 2.0), and the other two were intended to be delivered in person (the EEAT and the ERAT). Because of COVID-19, administering the EEAT and ERAT has become unwieldy, and an alternate method of delivering them is needed. As part of an NSF-funded project, we already developed a platform called SignLab for collecting and coding video data for a specific research study. The specific aims of the supplement are 1) to use the code base from SignLab to convert it from a single-use product to a platform that researchers could use to collect and code video data of all kinds, 2) to use SignLab to deliver the EEAT and ERAT, and 3) to enable researchers and clinicians to access, administer, and track results from the EEAT and ERAT. This software will serve two purposes. It will remove significant barriers in the field of sign language research, making it much more efficient to develop large-scale machine-readable sign language datasets. Additionally, the vast majority of deaf children are at risk for delayed language acquisition, and making the EEAT and ERAT widely accessible will help clinicians, states, and researchers identify language delays early when interventions are most effective.