@article{IR,
      author = {Lawley, Grace and van Santen, Jan and Dolata, Jill and  Bedrick, Steven and Fombonne, Eric},
      url = {http://digitalcollections.ohsu.edu/record/8368},
      title = {Towards an automated method for quantifying pedantic  language in children with Autism Spectrum Disorder.},
      publisher = {Oregon Health and Science University},
      abstract = {The language of children with Autism Spectrum Disorder  (ASD) is sometimes described by clinicians as having a  pedantic quality: overly formal, adult-like, and  inappropriate for the conversational setting. The term,  pedantic speech, does not have a standard definition in ASD  literature, but typically includes speech that is lengthy,  containing too much detail, and more similar to written  language than spoken language. Current measures of pedantic  speech in ASD are subjective in nature and may not be  consistent across examiners. Few automated measures have  been proposed that do not involve additional manual coding  by a transcriber. We have developed a fully automated  method that attempts to measure pedantry at the  unigram-level.},
      number = {IR},
      doi = {https://doi.org/10.6083/44558d72q},
      recid = {8368},
      address = {2020},
}