Text generation method and device, mobile terminal and computer readable storage medium

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By guiding users to clarify their text generation needs, target text matching user needs is generated, solving the problem of text generation not matching user expectations in existing technologies and achieving a higher degree of fit.

CN117473077BActive Publication Date: 2026-07-24IFLYTEK CO LTD

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Patent Information

Application Number: CN202310460570.8
Authority / Receiving Office: CN · China
Patent Type: Patents(China)
Current Assignee / Owner
Filing Date: 2023-04-25
Publication Date: 2026-07-24
Estimated Expiration: 2043-04-25

Application Information

Patent Timeline

25 Apr 2023

Application

CN202310460570.8

24 Jul 2026

Publication

CN117473077B

IPC: G06F16/34; G06F9/451; G06F3/0482

CPC: G06F16/345; G06F9/451; G06F3/0482; Y02D10/00

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Application Domain

Energy efficient computing Execution for user interfaces

Technology Topics

User needs Software engineering

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AI Technical Summary

Technical Problem

Existing technologies struggle to accurately generate text that meets user needs, resulting in generated text that does not match user expectations.

Method used

By obtaining the user's initial input requirements, guiding text is generated to clarify the requirements. Once the text generation conditions are triggered, the target text is generated based on the requirements of all rounds.

Benefits of technology

It improves the alignment between generated text and user needs, ensuring that the text gradually becomes clearer through multiple rounds of interaction until it meets user expectations.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a text generation method and device, a mobile terminal and a computer readable storage medium. The method comprises the following steps: obtaining a first requirement input by a user; in response to a text generation condition not being triggered, generating a guide text for guiding the user to explicitly express a text generation requirement, and re-executing the step of obtaining the first requirement input by the user under the guide text; and in response to the text generation condition being triggered, generating a target text matched with all rounds of the first requirement. The above scheme can improve the matching degree between the generated text and the user requirement.

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