US 2026/0310891 A1Published application

Computer-Automated Systems and Methods for Using Language Models to Generate Text Based on Reading Errors

AssigneesSkyHigh Ventures, LLC, Government of the United States as Represented by the Secretary of the Air Force

InventorsScott Sosso, Siyu Chen, Ciara Figliuolo, Jack Mostow, Marlies Goes

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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.

Claims20

Dependent claims

A method, performed by at least one computer processor executing computer program instructions stored on at least one non-transitory computer-readable medium, for generating personalized story text for a reader, the method comprising:

(A) identifying a set of statistics based on the reader's reading of text other than the personalized story text,
wherein the set of statistics associated with the reader are based on performance of the reader at the word level and the grapheme-phoneme level;
wherein the set of statistics are based on substitutions, insertions, deletions, and correct utterances by the reader, when reading the text other than the personalized story text, categorized on at least one of the grapheme level and the phoneme level;
(B) training a language model based on at least one of an age of the reader and a reading grade level of the reader;
(C) generating, using the language model after training the language model, the personalized story text based on the set of statistics, the generating comprising:
(C)(1) generating a story text creation prompt based on the set of statistics, wherein the story text creation prompt includes a set of target words and a topic of interest to the reader;
and
(C)(2) providing the story text creation prompt to the language model to generate the personalized story text based on the generated prompt, wherein the personalized story text includes at least some of the target words.

5 more elements

Dependencies are inferred from the claim text.