Search Results for author:
Found 6 papers, 2 papers with code
The Danish Gigaword Corpus
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers.
Identifying stable speech-language markers of autism in children: Preliminary evidence from a longitudinal telephony-based study
This study examined differences in linguistic features produced by autistic and neurotypical (NT) children during brief picture descriptions, and assessed feature stability over time.
Who Said What? An Automated Approach to Analyzing Speech in Preschool Classrooms
Young children spend substantial portions of their waking hours in noisy preschool classrooms.
Automated speech- and text-based classification of neuropsychiatric conditions in a multidiagnostic setting
We provide recommendations for future research in the field, suggesting increased focus on developing larger transdiagnostic datasets that include more fine-grained clinical features, and that can support the development of models that better capture the complexity of neuropsychiatric conditions and naturalistic diagnostic assessment.
The Danish Gigaword Project
Danish language technology has been hindered by a lack of broad-coverage corpora at the scale modern NLP prefers.
Inferring causality from noisy time series data
Convergent Cross-Mapping (CCM) has shown high potential to perform causal inference in the absence of models.
Chaotic Dynamics
