9 results about "E-text" patented technology

The invention discloses a student answer text similarity detection method for artificial intelligence paper marking. The method comprises the following steps: converting a target answer sheet into an electronic text; according to the comprehensive similarity between the student answering text and the question stem text in the electronic text, identifying and positioning similar specific sentences or fragments; comparing the paragraph-level semantic similarity, the key fragment dynamic score, the structural similarity and the keyword coincidence rate according to the student answer text and a model essay text in a preset model essay library, and generating a comprehensive similar risk score; according to a preset multi-level early warning threshold value, outputting a corresponding similar risk early warning level; and presenting the specific sentences or fragments and the same risk early warning level. Therefore, through fusion of question stem similar positioning and model essay multi-dimensional comparison, a comprehensive similar risk score of graded early warning is generated, the transformation from manual low-efficiency screening to intelligent accurate identification is realized, and the paper marking efficiency, the similar detection comprehensiveness and the scoring fairness are remarkably improved.

The application provides a kind of automatic stamping method and system based on invisible watermark, comprising: the electronic text of automatic office unit uploading stamping file and the position information needing stamping;Automatic office unit replaces the electronic text without invisible electronic watermark in process with electronic text;Server informs automatic stamping robot unit to automatically print the electronic text in automatic office unit electronic stamping process;Automatic stamping robot extracts token information in hidden electronic watermark from paper text page by page;If each page token authentication passes, pass through OCR and image matching;Automatic stamping robot stamps information in server through the token of each page text, confirms whether each page text is stamped and where to stamp;Automatic stamping is carried out in the corresponding position of text document, and after stamping is completed, paper document is output.The application can efficiently realize the comparison of paper document and electronic document, and avoid the inconsistency between stamping file and electronic document in approval process.

A text analysis processing for detecting computer-generated text is provided. In some cases, a text-based chat interaction may be initiated and analyzed to determine whether the text-based chat generated by a communicating entity is computer-generated. The text of the chat session may be analyzed to evaluate punctuation, use of emojis, spacing, grammar, words, phrases, and the like to determine a further likelihood of whether the text is computer-generated. A duration of the chat session may be used as a scoring factor. The various probabilities and scores may be combined to provide a composite score.

The present disclosure relates to systems and methods for dynamically creating hyperlinks associated with relevant multimedia content in a computer network. A hyperlink generation module receives an electronic text file from a server. The module searches the text file to identify keywords present in the file. Once the keywords have been identified, a database is queried to identify multimedia content that is related to the keywords. Generally, multimedia content is associated with metadata to enable efficient searching of the multimedia content. Typically, the multimedia content is contextually relevant to both the identified keywords and text file. One or more hyperlinks corresponding to the keywords are then generated and inserted into the text file. The hyperlinks provide pointers to the identified multimedia content. After insertion into the text file, the hyperlinks may be clicked by a user or viewer of the file to retrieve and display the identified multimedia content.

1. Name of the product in this design: Braille pen. 2. Purpose of this design: For blind people to scan Braille dots to convert them into speech and to convert Braille text into electronic text during learning. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

The application discloses an electronic text desensitization method and device, a computing device and a storage medium. The method comprises the following steps: analyzing an electronic text to obtain a sentence set containing multiple sentences, and word segmentation and word vectors corresponding to the word segmentation of any sentence in the sentence set; wherein the sentence set comprises a target sentence and a replacement candidate sentence; for any sentence in the sentence set, identifying an entity contained in the sentence, determining the word segmentation corresponding to the entity as entity word segmentation, and determining the word vector corresponding to the entity word segmentation as an entity word vector; determining an entity-related word vector corresponding to the entity word vector of any sentence; obtaining a privacy word segmentation corresponding to the target sentence and an entity-related word segmentation corresponding to the target sentence in the replacement candidate sentence according to the entity-related word vector; and performing desensitization replacement processing on the privacy word segmentation of the target sentence by using the entity-related word segmentation in the replacement candidate sentence to obtain a desensitized target sentence.

An object of the system according to the embodiment is to enable a person with weak eyesight to efficiently read an electronic document on a PC.SOLUTION: A system according to an embodiment includes an electronic sentence analysis unit and an automatic voice generation unit. The electronic document analysis part analyzes an electronic document displayed on a PC. An automatic voice generation part reads the contents of the electronic sentence analyzed by the electronic sentence analysis part by automatic voice.SELECTED DRAWING: Figure 1

List-based entity name detection implementations are described that detect entity names in electronic textural documents. In one implementation, unknown entity names are detected. In another implementation, ambiguous entity names are detected and disambiguated. In yet another implementation, generic entity names are detected and associated with an applicable species entity name.

The invention relates to a method for providing background music to a vehicle occupant 7 reading an electronically provided text in a vehicle 1, in which a context-specific soundtrack is played for the vehicle occupant 7 in the vehicle 1 depending on a reading position in an electronically provided text. In a method that can be implemented in a more user-friendly way, the context-specific soundtrack to be played over the electronically provided text or text segment is generated by artificial intelligence.