The development of a digital story-retell elicitation and analysis tool through citizen science data collection, software development and machine learning.

ABSTRACT:

Background

In order to leverage the potential benefits of technology to speech and language therapy language assessment processes, large samples of naturalistic language data must be collected and analysed. These samples enable the development and testing of novel software applications with data relevant to their intended clinical application. However, the collection and analysis of such data can be costly and time-consuming. This paper describes the development of a novel application designed to elicit and analyse young children's story retell narratives to provide metrics regarding the child's use of grammatical structures (micro-structure) and story grammar (macro-structure elements). Key aspects for development were (1) methods to collect story retells, ensure accurate transcri

SUBMITTER: Bright R 

PROVIDER: S-EPMC10243469 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature