000008351 001__ 8351
000008351 005__ 20240418143220.0
000008351 0247_ $$2DOI$$a10.6083/6d56zx276
000008351 037__ $$aIR
000008351 245__ $$aUsing MLU to evaluate the reliability of ADOS transcription
000008351 260__ $$bOregon Health and Science University
000008351 269__ $$a2020
000008351 336__ $$aAbstract
000008351 520__ $$aTranscription 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.
000008351 540__ $$fCC BY
000008351 542__ $$fIn copyright - joint owners
000008351 650__ $$aAutism Spectrum Disorder$$011199
000008351 6531_ $$aintra-annotator reliability
000008351 6531_ $$amean length of utterance in morphemes
000008351 6531_ $$atranscription
000008351 6531_ $$aneurodivergence
000008351 6531_ $$acomputational language analysis
000008351 6531_ $$aautism diagnostic observation scale
000008351 691__ $$aSchool of Medicine$$041369
000008351 692__ $$aCenter for Spoken Language Understanding$$041388
000008351 7001_ $$aMacFarlane, Heather$$uOregon Health and Science University$$041354
000008351 7001_ $$aSalem, Alex$$uOregon Health and Science University$$041354
000008351 7001_ $$aDolata, Jill$$uOregon Health and Science University$$041354
000008351 7001_ $$aLawley, Grace$$uOregon Health and Science University$$041354
000008351 7001_ $$aFombonne, Eric$$uOregon Health and Science University$$041354
000008351 711__ $$aResearch Week$$uOregon Health and Science University$$d2020
000008351 8564_ $$92e45dc1f-8ebf-42c9-9f0d-311916cdea09$$s62031$$uhttps://digitalcollections.ohsu.edu/record/8351/files/ResearchWeek.2020.MacFarlane.Heather.pdf
000008351 905__ $$a/rest/prod/6d/56/zx/27/6d56zx276
000008351 980__ $$aResearch Week