TY  - GEN
N2  - Pragmatic language difficulties are common among autistic children, and assessment of pragmatic language skills over time is an important predictor of quality of life outcomes during adulthood. Current metrics for pragmatic language are qualitative in design and are expensive in terms of time and resources. With the use of Natural Language Processing (NLP) methods, robust measures of pragmatic language features can be obtained in an automated, reliable, and relatively inexpensive fashion. Such metrics can be used to augment traditional pragmatic language assessments. Improving our understanding of how autistic individuals use language not only helps us learn how to become better conversational partners ourselves, but also enables us to build language tools that accommodate for pragmatic language differences. In this dissertation, we leverage traditional statistical methods to adapt and augment established NLP techniques to investigate three areas of pragmatic language that autistic children are known to have difficulty with.
DO  - 10.6083/bpxhc42766
DO  - doi
AB  - Pragmatic language difficulties are common among autistic children, and assessment of pragmatic language skills over time is an important predictor of quality of life outcomes during adulthood. Current metrics for pragmatic language are qualitative in design and are expensive in terms of time and resources. With the use of Natural Language Processing (NLP) methods, robust measures of pragmatic language features can be obtained in an automated, reliable, and relatively inexpensive fashion. Such metrics can be used to augment traditional pragmatic language assessments. Improving our understanding of how autistic individuals use language not only helps us learn how to become better conversational partners ourselves, but also enables us to build language tools that accommodate for pragmatic language differences. In this dissertation, we leverage traditional statistical methods to adapt and augment established NLP techniques to investigate three areas of pragmatic language that autistic children are known to have difficulty with.
AD  - Oregon Health and Science University
T1  - Computationally characterizing communicative content and context in autistic children
DA  - 2024-03-20
AU  - Lawley, Grace
L1  - https://digitalcollections.ohsu.edu/record/42766/files/Lawley.Grace.2024.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2024-03-20
ID  - 42766
L4  - https://digitalcollections.ohsu.edu/record/42766/files/Lawley.Grace.2024.pdf
KW  - Autism Spectrum Disorder
KW  - Natural Language Processing
KW  - Autistic Disorder
KW  - Quality of Life
KW  - Multivariate Analysis
KW  - computational linguistics
KW  - filler linguistics
KW  - topic modeling
KW  - backchannels
TI  - Computationally characterizing communicative content and context in autistic children
Y1  - 2024-03-20
L2  - https://digitalcollections.ohsu.edu/record/42766/files/Lawley.Grace.2024.pdf
LK  - https://digitalcollections.ohsu.edu/record/42766/files/Lawley.Grace.2024.pdf
UR  - https://digitalcollections.ohsu.edu/record/42766/files/Lawley.Grace.2024.pdf
ER  -