Advanced speech and text evaluation technologies for educational applications

Scores text and speech in performance tasks to improve learning outcomes.


Communicates with applications through a flexible application programming interface (API) for easy integration and score reporting.


Employs automatic speech recognition (ASR) and natural language processing (NLP) technologies to score response content and language skills.


Uses machine learning and rule-based processes to drive scoring models that accurately score text-based constructed-response items.


Scores multiple content areas and skills in reading, writing, speaking, listening, language proficiency, and content knowledge.

Want more info? Review research and presentations that support AMI's development of amiSCORE here.


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