# Open Brain AI. Automatic Language Assessment

arXiv: https://arxiv.org/abs/2306.06693 · HTML: https://mlsanity.com/paper/2306.06693/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 0 of its 67 references that are in the map.
- First posted on arXiv 11 Jun 2023.

## Built on by (most cited first, 1 of 1)

- [Differentiating Between Human-Written and AI-Generated Texts Using Automatically Extracted Linguistic Features](https://mlsanity.com/paper/2407.03646/) (2024)

## Abstract (arXiv)

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. However, current assessment methods are manual, laborious, and time-consuming to administer and score, causing additional patient stress. To address these challenges, we developed Open Brain AI (https://openbrainai.com). This computational platform harnesses innovative AI techniques, namely machine learning, natural language processing, large language models, and automatic speech-to-text transcription, to automatically analyze multilingual spoken and written speech 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.