Latent Semantic Analysis Discriminates Children with Developmental Language Disorder (DLD) from Children with Typical Language Development

8Citations
Citations of this article
62Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Computer based analyses offer a possibility for objective methods to assess semantic-linguistic quality of narratives at the text level. The aim of the present study is to investigate whether a semantic language impairment index (SELIMI) based on latent semantic analysis (LSA) can discriminate between children with developmental language disorder (DLD) and children with typical language development. Spoken narratives from 54 children with DLD and 54 age matched controls with typical language development were summarized in a semantic representation generated using LSA. A statistical model was trained to discriminate between children with DLD and children with typical language development, given the semantic vector representing each individual child’s narrative. The results show that SELIMI could distinguish between children with DLD and children with typical language development significantly better than chance and thus has a potential to complement traditional analyses focussed on form or on the word level.

References Powered by Scopus

Regularization paths for generalized linear models via coordinate descent

12209Citations
N/AReaders
Get full text

A Solution to Plato's Problem: The Latent Semantic Analysis Theory of Acquisition, Induction, and Representation of Knowledge

4565Citations
N/AReaders
Get full text

Prevalence of specific language impairment in kindergarten children

1662Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Editorial: Semantic Algorithms in the Assessment of Attitudes and Personality

10Citations
N/AReaders
Get full text

The Priest, the Sex Worker, and the CEO: Measuring Motivation by Job Type

9Citations
N/AReaders
Get full text

Dispositional and ideological factor correlate of conspiracy thinking and beliefs

4Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Bååth, R., Sikström, S., Kalnak, N., Hansson, K., & Sahlén, B. (2019). Latent Semantic Analysis Discriminates Children with Developmental Language Disorder (DLD) from Children with Typical Language Development. Journal of Psycholinguistic Research, 48(3), 683–697. https://doi.org/10.1007/s10936-018-09625-8

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 16

62%

Professor / Associate Prof. 6

23%

Researcher 3

12%

Lecturer / Post doc 1

4%

Readers' Discipline

Tooltip

Psychology 8

38%

Social Sciences 5

24%

Linguistics 5

24%

Nursing and Health Professions 3

14%

Save time finding and organizing research with Mendeley

Sign up for free