TY  - GEN
N2  - Transcription of language samples is labor intensive and data on intra- and inter-annotator reliability is lacking. Mean Length of Utterance in Morphemes (MLUM) can be calculated from transcripts and used to evaluate intra-annotator reliability. We developed a computational method to determine transcriber consistency across a large speech corpus.
DO  - 10.6083/6d56zx276
DO  - DOI
AB  - Transcription of language samples is labor intensive and data on intra- and inter-annotator reliability is lacking. Mean Length of Utterance in Morphemes (MLUM) can be calculated from transcripts and used to evaluate intra-annotator reliability. We developed a computational method to determine transcriber consistency across a large speech corpus.
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
T1  - Using MLU to evaluate the reliability of ADOS transcription
DA  - 2020
AU  - MacFarlane, Heather
AU  - Salem, Alex
AU  - Dolata, Jill
AU  - Lawley, Grace
AU  - Fombonne, Eric
L1  - https://digitalcollections.ohsu.edu/record/8351/files/ResearchWeek.2020.MacFarlane.Heather.pdf
PB  - Oregon Health and Science University
PY  - 2020
ID  - 8351
L4  - https://digitalcollections.ohsu.edu/record/8351/files/ResearchWeek.2020.MacFarlane.Heather.pdf
KW  - Autism Spectrum Disorder
KW  - intra-annotator reliability
KW  - mean length of utterance in morphemes
KW  - transcription
KW  - neurodivergence
KW  - computational language analysis
KW  - autism diagnostic observation scale
TI  - Using MLU to evaluate the reliability of ADOS transcription
Y1  - 2020
L2  - https://digitalcollections.ohsu.edu/record/8351/files/ResearchWeek.2020.MacFarlane.Heather.pdf
LK  - https://digitalcollections.ohsu.edu/record/8351/files/ResearchWeek.2020.MacFarlane.Heather.pdf
UR  - https://digitalcollections.ohsu.edu/record/8351/files/ResearchWeek.2020.MacFarlane.Heather.pdf
ER  -