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CN-121981125-A - Multi-mode text reading system based on multi-semantic personality mapping

CN121981125ACN 121981125 ACN121981125 ACN 121981125ACN-121981125-A

Abstract

The invention discloses a multi-mode text reading system based on multi-semantic personality mapping. The system comprises a semantic analysis module, a style configuration module, a multi-language mapping module, a reading mode module, a presentation control module and a user preference management module. The system comprises a semantic analysis module, a style configuration module, a multi-language mapping module, a reading mode module, a presentation control module and a user preference management module, wherein the semantic analysis module is used for generating a multi-layer semantic structure of an input text, the style configuration module is used for performing personalized rewriting on the semantic structure according to an expression style selected by a user, the multi-language mapping module is used for realizing structure alignment among different language versions, the reading mode module is used for providing various reading modes such as word presentation, phrase presentation, shielding reading, segmented exposure reading, left and right channel comparison and the like, the presentation control module is used for generating corresponding text or audio output according to the semantic structure, a target language and the personality style, and the user preference management module is used for recording and adapting to the reading behaviors of the user. The invention can realize the collaborative presentation of multi-language, multi-mode and multi-personality expressions in a single frame, and improves the flexibility and immersion experience of cross-language reading.

Inventors

  • FENG DONGPO

Assignees

  • 梦科达(香港)科技有限公司

Dates

Publication Date
20260505
Application Date
20260205

Claims (10)

  1. 1. A multi-modal text reading system based on multi-style semantic mapping, comprising: The semantic analysis module is used for carrying out semantic structure analysis on the input text to obtain semantic annotation information at sentence level, phrase level or word level; The style configuration module is used for rewriting semantic annotations according to the expression parameters selected by the user, wherein the expression parameters comprise at least one of vocabulary formality, language speed and language strength; A multilingual mapping module for mapping text to at least one target language and generating a structurally aligned multilingual version; The reading mode module is used for providing a plurality of reading presentation modes based on user selection; The presentation control module is used for generating final text or audio output according to the semantic analysis result, the target language version, the personality style and the reading mode; and the user preference management module is used for recording the reading behaviors and parameter selections of the user and providing self-adaptive configuration.
  2. 2. The system of claim 1, wherein the reading mode module comprises a word presentation mode, a phrase presentation mode, a mask reading mode, a segment exposure reading mode, and a left-right vocal tract collation mode.
  3. 3. The system of claim 1, wherein the style configuration module is configured to adjust at least one expression characteristic comprising vocabulary style, mood curve, sentence cadence, syntax structure, or timbre characteristics.
  4. 4. The system of claim 1, wherein the multi-lingual mapping module performs cross-lingual structure alignment based on semantic annotation information, including sentence-level alignment, phrase alignment, or word-level alignment.
  5. 5. The system of claim 1, wherein the presentation control module is operable to generate audio output based on the target language version and personality style and to support synchronized or contrasting presentations of different languages or different styles between left and right channels.
  6. 6. The system of claim 1, wherein the user preference management module automatically recommends personality style, reading mode, or language version based on user history operations.
  7. 7. The system of claim 1, wherein the semantic parsing module is capable of identifying semantic boundaries of text, including paragraph boundaries, sentence boundaries, phrase boundaries, and word boundaries.
  8. 8. A multi-mode text reading method based on multi-style semantic mapping. It is characterized by comprising Based on the semantic structure obtained by the semantic analysis module, executing cross-language position matching in the multi-language mapping module to enable a user to synchronously jump among different language texts; Based on semantic annotation information, stylized rewriting is carried out on the text, so that output content accords with target personality presentation characteristics selected by a user; Outputting the text in word presentation, phrase presentation, shielding presentation, segmentation exposure presentation or left and right sound channel comparison modes according to the selection of the reading mode module; combining the target language version, personality presentation characteristics and reading mode selected by the user, and generating corresponding text or audio output through the presentation control module; And automatically generating recommended parameters according to the historical reading path, language preference and personality selection of the user, and sequencing the priority of the reading presentation modes.
  9. 9. A multi-mode text reading method based on multi-style semantic mapping is characterized by comprising the following steps: carrying out semantic structure analysis on the input text to obtain a sentence-level, phrase-level or word-level multilayer semantic structure; based on the expression style selected by the user, performing personalized rewriting on the multi-layer semantic structure to obtain a personalized rewritten text; mapping the personalized rewritten text to at least one target language, and carrying out structure alignment on different language versions; And responding to the reading mode selected by the user, and presenting the target language in a text or audio-video mode, wherein the reading mode comprises at least one of word presentation, phrase presentation, shielding reading, segmentation exposure reading and left-right sound channel comparison.
  10. 10. The method of claim 9, wherein after presenting the target language in text or audio-visual form, the method further comprises recording and adapting the user's reading behavior.

Description

Multi-mode text reading system based on multi-semantic personality mapping Technical Field The invention relates to the field of natural language processing and text presentation, in particular to a multi-mode text reading system based on multi-semantic personality mapping. Background In the process of cross-language reading, text learning and content consumption, users often need to read in different ways according to task types, reading habits or semantic understanding degrees, such as fine reading, comparison, exploratory skip reading and the like. However, the existing tools have the common problems that 1) the reading mode is fixed, the text presentation is difficult to dynamically adjust according to the habit of a user, 2) the synchronous skip with consistent structure cannot be realized by the multi-language version, 3) a unified framework is lacking to bear various reading strategies (such as linear reading, contrast reading and local display, and the like), and 4) different expression personality cannot be presented according to the preference of the user (such as serious, relaxed, academic, spoken language, and the like), so that the flexibility and the immersion degree are limited. Thus, there is a need for a system that is structurally uniform, scalable, and capable of implementing text multidimensional presentations to support a comprehensive reading experience of multilingual, multimodal, and personalized expressions. Disclosure of Invention The embodiment of the invention provides a multi-mode text reading system based on multi-semantic personality mapping, which at least solves the technical problem of poor reading experience. According to one aspect of the embodiment of the invention, a multi-mode text reading system based on multi-style semantic mapping is provided, which comprises a semantic analysis module, a style configuration module and a user preference management module, wherein the semantic analysis module is used for carrying out semantic structure analysis on an input text to obtain sentence-level, phrase-level or word-level semantic annotation information, the style configuration module is used for carrying out personalized rewriting on semantic annotations according to expression parameters selected by a user, the expression parameters comprise at least one of vocabulary formality, language speed and language strength, the multi-language mapping module is used for mapping the text to at least one target language and generating multi-language versions with aligned structures, the reading mode module is used for providing various reading presentation modes based on the user selection, the presentation control module is used for generating final text or audio output according to semantic analysis results, the target language versions, personality styles and reading modes, and the user preference management module is used for recording user reading behaviors and parameter selections and providing self-adaption configuration. According to another aspect of the embodiment of the invention, the multi-mode text reading method based on multi-style semantic mapping further comprises the steps of carrying out semantic structure analysis on an input text to obtain a sentence-level, phrase-level or word-level multi-layer semantic structure, carrying out personalized rewriting on the multi-layer semantic structure based on an expression style selected by a user to obtain a personalized rewritten text, mapping the personalized rewritten text to at least one target language, carrying out structure alignment on different language versions, and responding to a reading mode selected by the user to display the different language versions with the structure aligned in a text or audio/video mode, wherein the reading mode comprises at least one of word display, phrase display, shielding reading, segmented exposure reading and left and right channel comparison. In the embodiment of the invention, the semantic analysis module is used for generating a multi-layer semantic structure of an input text, the style configuration module is used for performing personalized rewriting on the semantic structure according to an expression style selected by a user, the multi-language mapping module is used for realizing structural alignment among different language versions, the reading mode module is used for providing various reading modes such as word presentation, phrase presentation, shielding reading, segmented exposure reading, left and right sound channel comparison and the like, the presentation control module is used for generating corresponding text or audio output according to the semantic structure, a target language and the personality style, and the user preference management module is used for recording and adapting to the reading behaviors of the user. The invention can realize the collaborative presentation of multi-language, multi-mode and multi-personality expression in a single frame, improves