Open Brain AI. Automatic Language Assessment

Charalambos Themistocleous


Abstract
Language assessment plays a crucial role in diagnosing and treating individuals with speech, language, and communication disorders caused by neurogenic conditions, whether developmental or acquired. To support clinical assessment and research, we developed Open Brain AI (https://openbrainai.com). This computational platform employs AI techniques, namely machine learning, natural language processing, large language models, and automatic speech-to-text transcription, to automatically analyze multilingual spoken and written productions. This paper discusses the development of Open Brain AI, the AI language processing modules, and the linguistic measurements of discourse macro-structure and micro-structure. The fast and automatic analysis of language alleviates the burden on clinicians, enabling them to streamline their workflow and allocate more time and resources to direct patient care. Open Brain AI is freely accessible, empowering clinicians to conduct critical data analyses and give more attention and resources to other critical aspects of therapy and treatment.
Anthology ID:
2024.rapid-1.6
Volume:
Proceedings of the Fifth Workshop on Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments @LREC-COLING 2024
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Dimitrios Kokkinakis, Kathleen C. Fraser, Charalambos K. Themistocleous, Kristina Lundholm Fors, Athanasios Tsanas, Fredrik Ohman
Venues:
RaPID | WS
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
45–53
Language:
URL:
https://aclanthology.org/2024.rapid-1.6
DOI:
Bibkey:
Cite (ACL):
Charalambos Themistocleous. 2024. Open Brain AI. Automatic Language Assessment. In Proceedings of the Fifth Workshop on Resources and ProcessIng of linguistic, para-linguistic and extra-linguistic Data from people with various forms of cognitive/psychiatric/developmental impairments @LREC-COLING 2024, pages 45–53, Torino, Italia. ELRA and ICCL.
Cite (Informal):
Open Brain AI. Automatic Language Assessment (Themistocleous, RaPID-WS 2024)
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PDF:
https://aclanthology.org/2024.rapid-1.6.pdf