Abstract
A computer-implemented system and method generate personalized text based on statistics derived from input received from a user representing the user's attempts to decode graphemes into phonemes. Such statistics may be measured and recorded at the grapheme-phoneme level, and may include substitutions, insertions, deletions, and correct utterances of phonemes by the user when reading text. A language model may be trained based on characteristics of the user, such as the user's age and/or reading grade level, and the personalized text may be generated after such training of the language model. Generating the personalized text may include generating a text creation prompt based on the statistics. The resulting text creation prompt may include a set of target words. The text creation prompt may be provided to the language model, which may generate the personalized text in response. The personalized text may include some or all of the target words.
Document Type
Patent
Status
Issued
Issue Date
8-19-2025
Patent Number
US 12394332 [ 12,394,332 ] ; US 12394332B2
CPC Classification
G 09 B 17/003
Application number
18/659230
Assignees
SkyHigh Ventures, LLC;
Government of the United States, as Represented by the Secretary of the Air Force
Filing Date
5-9-2024
Recommended Citation
Sosso, S., Chen, S., Figliuolo, C., Mostow, J., & Goes, M. (2025). Computer-Automated Systems and Methods for Using Language Models to Generate Text Based on Reading Errors (United States Patent No. US12394332B2). https://scholar.afit.edu/patents/115