Automatic generation of the index of productive syntax for child language transcripts.

The index of productive syntax (IPSyn; Scarborough (Applied Psycholinguistics 11:1-22, 1990) is a measure of syntactic development in child language that has been used in research and clinical settings to investigate the grammatical development of various groups of children. However, IPSyn is mostly calculated manually, which is an extremely laborious process. In this article, we describe the AC-IPSyn system, which automatically calculates the IPSyn score for child language transcripts using natural language processing techniques.

Exploring a corpus-based approach for detecting language impairment in monolingual English-speaking children.

Objectives: This paper explores the use of an automated method for analyzing narratives of monolingual English speaking children to accurately predict the presence or absence of a language impairment. The goal is to exploit corpus-based approaches inspired by the fields of natural language processing and machine learning.

Methods And Materials: We extract a large variety of features from language samples and use them to train language models and well known machine learning algorithms as the underlying predictors.