Computational Language Assessment employs tools based on Natural Language Processing, Signal Processing, and Machine Learning to automatically analyze speech, language, and communication. Computational methods enable clinicians and researchers to elicit quantified, accurate, and fast measures of language functioning of their patients.
Computational Language Assessment employs tools to automatically analyze speech, language, and communication. Computational methods enable teachers and researchers to elicit quantified, accurate, and fast measures of language functioning of their students. CLA relies on computational technologies, such as deep neural networks, signal processing, and natural language processing.