134 results about "Pinyin" patented technology

The invention relates to the technical field of network security and data processing, and discloses a violation short message recognition method and system based on deep semantic understanding, and the method comprises the steps: firstly cleaning an original short message, generating a mixed embedding vector through characters, sub-words and pinyin, and carrying out the recognition of the violation short message; then processing through a double-layer detection engine, wherein the first layer utilizes rules and a lightweight model for rapid preliminary screening; in the second layer, for suspected samples, a double-tower fusion neural network architecture is adopted, local and global features are combined, fusion is carried out through a gating unit, and a large language model is input to carry out deep semantic reasoning. The system executes strategies such as interception or flow limiting according to the risk score, and realizes model iteration through a dynamic knowledge base and incremental learning. According to the method, the resource consumption and the detection precision are balanced through the layered architecture, the antagonistic variants are effectively identified by utilizing multi-dimensional feature fusion, and the method has the adaptive evolution capability for a novel violation mode.

The invention provides a pinyin decoding input method, an embedded system and a storage medium. The method comprises the following steps: constructing a hierarchical code table index database; obtaining a pinyin character string input by a user, and determining a first index of the pinyin character string in the initial index layer according to the initial of the pinyin character string; calculating a Hash value of the pinyin character string by using a Hash algorithm, and obtaining a second index corresponding to the Hash value in a Hash table; searching in the pinyin data block according to the second index to obtain a pointer corresponding to the pinyin character string; and matching in the word data layer by using the pointer to obtain corresponding word data. According to the method, the memory pressure of the embedded system is reduced, the three-layer index structure of the hierarchical code table index database is utilized, and the optimized hash search algorithm is adopted to accelerate data access, so that high-precision matching and quick positioning are realized in an embedded environment.

The invention discloses a text-to-instruction system based on fuzzy pinyin matching and parameter robust analysis. The text-to-instruction system comprises an input preprocessing module, a text-to-instruction conversion module and a text-to-instruction conversion module, the fuzzy pinyin matching module is used for uniformly transferring the standardized text and a pre-stored instruction template into a silent pinyin sequence, and constructing a weighted editing distance matrix based on a preset pinyin character replacement cost; the parameter alignment search module is used for executing beam search on the weighted editing distance matrix and outputting a plurality of candidate matching paths with the minimum cost and a corresponding parameter fragment set; the parameter robust distribution module is used for performing legality and consistency checking on parameters in the candidate matching paths, completing parameter standardization and performing error correction in combination with a parameter candidate dictionary; the instruction output module is used for encoding the template identifier and the parameter key value pair obtained through robust distribution into a structured instruction and outputting the structured instruction; according to the method, text-to-instruction conversion can be completed in real time.

The application discloses a character input method and device, electronic equipment and a storage medium, and belongs to the technical field of electronic equipment. The method comprises the following steps: receiving a first input for inputting a word group pinyin in an input method keyboard; in response to the first input, displaying at least one word group unit corresponding to the word group pinyin, each word group unit comprising at least one candidate word; in response to a second input for selecting a target word group unit from the at least one word group unit, displaying the target word group unit in a text input area corresponding to the input method keyboard.

The invention relates to the technical field of data processing, in particular to a data information storage method and system for an online Chinese language learning platform. The method comprises the following steps: obtaining platform user interaction data, and carrying out pinyin input track analysis and Chinese character component structure coding to obtain a pinyin alignment input frame; extracting a pinyin-Chinese character mapping relation in the pinyin alignment input frame, and performing Chinese character structure path reconstruction to obtain a user input word structure path set; learning content data are called, multi-modal content node embedding is carried out, and a content linkage fragment cluster is obtained; constructing a single session learning topology track according to the content linkage fragment cluster, and performing bidirectional topology sorting to obtain a learning track topological graph; and establishing a multi-dimensional primary key index and behavior triggering mechanism for the learning track topological graph to obtain a dynamic index distribution block, and transmitting the dynamic index distribution block to an online Chinese language learning platform. According to the invention, the stability and expansibility of the learning platform are obviously improved.

1. Name of the designed product: Pinyin machine. 2. Use of the designed product: Pinyin learning machine. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The invention provides a Chinese character encoding and decoding method and system based on pinyin and Chinese character characteristics, and the method comprises the steps: generating a corresponding initial brevity code according to a triggered first position on a keyboard when the state of the keyboard is a first state; when the keyboard state is a second state, generating a corresponding simple final code according to a triggered second position, a triggered third position and a triggering sequence on the keyboard; in any keyboard state, if the currently triggered fourth position belongs to the auxiliary input area in the keyboard, generating a corresponding Chinese character starting code, and switching the keyboard state to the auxiliary input state; when the keyboard state is an auxiliary input state, generating a corresponding Chinese character feature code according to a triggered fifth position in the auxiliary input area; according to the code generation sequence, the generated initial consonant brevity codes, the final brevity codes, the Chinese character start codes and the Chinese character feature codes are combined to construct the Chinese character codes, and the matching precision of the codes and the Chinese characters and the input experience of a user are improved.

This invention discloses a PCFG password strength evaluation method incorporating Pinyin patterns. The steps include: 1) extracting Pinyin patterns from a benchmark dataset and generating corresponding rule sets; 2) sequentially selecting rules from the rule set according to probability and generating corresponding passwords based on the probability of the terminal symbols in the patterns contained in the rules; 3) determining whether the currently generated password matches the corresponding user's password. If not, proceeding to step 2) changing the terminal symbols corresponding to the pattern and generating the password again. If all terminal symbols in the patterns contained in the rule have been exhausted, changing the rule and continuing to generate passwords; 4) when the password matches the corresponding user's password, determining the password strength of the corresponding user's password based on the number of rule changes. This invention significantly improves the effectiveness of password strength evaluation for passwords containing Pinyin, providing a more scientific evaluation method for user password security.

The present application relates to the technical field of electronic digital data processing, and discloses a four-level index pinyin bucket word library generation method, acquires a Chinese word library text, extracts the first Chinese character and the first pinyin of each line of words as a classification key, and generates a triple; the triple is classified into a corresponding pinyin bucket according to the pinyin, the words in the bucket are sorted in descending order of word frequency, an independent Chinese character block is generated for each unique Chinese character, and the words are solidified according to the word length by using a first character multiplexing mechanism; a four-level static index of an initial letter statistical area and a pinyin index area and a Chinese character word index area and a word storage area is sequentially constructed, each index area uses fixed-length entries and absolute offset addressing; a metadata area containing a file length double-semantic field is constructed, a high-frequency-first deterministic truncation is performed on the word library according to a preset threshold, each data area is spliced and a data integrity check value is appended, and an embedded binary word library is generated. The problems of high storage redundancy and uncontrollable memory are solved, and the purposes of deterministic analysis, resource adaptation and high security are achieved.

The application provides an information retrieval prompting method and device, electronic equipment and a storage medium, the method comprising: preprocessing device retrieval information input by a user to determine a retrieval keyword; sequentially matching the retrieval keyword with a prompt word library, a synonym library and a pinyin word library to obtain multiple prompt information corresponding to the device retrieval information; the prompt word library is constructed based on attribute information of various devices, the synonym library is constructed based on synonymous words corresponding to the attribute information of various devices, and the pinyin word library is determined based on the prompt word library; and the multiple prompt information is sent to a front end for display. The application can provide accurate retrieval prompt information for a user, help the user quickly and effectively retrieve attribute information of an Internet of Things device of interest, improve the multi-dimensional prompting and accurate retrieval capability of the Internet of Things device, and provide a good user experience.

The embodiment of the invention discloses a prompter prompt text display method, head-mounted display equipment and a medium. A specific embodiment of the method comprises the following steps: converting received speech recognition text information to obtain recognition pinyin data; performing conversion processing on the preset prompting text information to obtain prompting pinyin data and a prompting position mapping table; the following display steps are executed: determining starting position information and ending position information corresponding to the recognized pinyin data; determining a text corresponding to the voice recognition text information in the preset teleprompter text information as a teleprompter prompt text; and performing highlight display processing on the prompt text of the prompter. According to the embodiment, the problem of matching failure caused by Chinese homophone and near-tone character recognition errors can be effectively solved, then the situation that the follow-up progress is lost or skipping errors occur is reduced, the user experience is improved, network transmission overhead and processing delay can be reduced, and then the real-time performance of follow-up response is improved.

The application relates to the technical field of artificial intelligence, and discloses a text correction method and device, equipment and a medium, wherein the method comprises the following steps: obtaining initial text input by a user based on a preset ASR speech recognition technology or input method technology, performing pinyin conversion on the initial text to obtain an initial pinyin sequence; and performing pinyin conversion and pinyin-based text correction on the initial text according to each pinyin dictionary tree in a preset pinyin dictionary tree configuration to obtain corrected text, wherein each pinyin dictionary tree in the pinyin dictionary tree configuration comprises a wrong word pinyin dictionary tree, a multiple-word pinyin dictionary tree, a few-word pinyin dictionary tree and a disordered pinyin dictionary tree. Thus, the correction of homophonic words, few words, multiple words and disordered text is realized, and the accuracy and comprehensiveness of the correction are improved.

The invention discloses a text end-to-end recognition method and device, electronic equipment and a storage medium, and relates to the technical field of computer vision, and the main technical scheme comprises the steps that a to-be-recognized image is acquired, the to-be-recognized image comprises target question type information, and the target question type information is a question related to at least one of pinyin and Chinese characters; and inputting the to-be-recognized image into a pre-trained target recognition model for image recognition, and outputting at least one of structure information, text information and answer information corresponding to the target question type information. The problem of overall result failure caused by a single model fault is effectively avoided, an information combination process brought by multi-model cooperation is simplified, and unified end-to-end identification of structural information, text information and answer information is realized.

The application discloses an intelligent telephone directory search method based on a TF-IDF pinyin vector model and belongs to the field of communication; specifically, first, the name of a contact person of a communication device is converted into a string by pinyin conversion to obtain the IDF value of each character; the term frequency (TF) value of each character is calculated, the TF-IDF value is further obtained, and normalization processing is performed; when a user inputs the information of a contact person M to be queried, the normalized TF-IDF vector is obtained, the cosine similarity of the TF-IDF vector of the contact person M and the TF-IDF vector of each saved contact person is calculated; each contact person is traversed, the standardized edit distance of the Chinese name and the pinyin of the contact person M and each contact person is calculated respectively, and the maximum value is selected as the final edit distance similarity; the cosine similarity and the final edit distance similarity are weighted to construct the similarity score of the contact person M and each contact person; and the similarity score is sorted in descending order; the first K contact persons are selected as the search result and are displayed to the user. The application realizes significant improvement in search precision.

This invention provides a Pinyin error correction method that simplifies the noise channel model used in most current Pinyin error correction algorithms by employing a real-time frequency counting method, effectively improving the efficiency and lightweighting of the algorithm. Furthermore, this invention uses a direct character substitution method instead of the traditional edit distance calculation method, avoiding frequent edit distance calculations in the Pinyin error correction algorithm. The dictionary database itself is localized to the individual user, resulting in a highly personalized, targeted, and small-scale dictionary that provides accurate candidate words. Compared to existing algorithms, this invention offers significant improvements in error checking rate, candidate word accuracy, and execution efficiency.

The invention provides a traditional Chinese medicine robot diagnosis and treatment system based on a multi-modal large model, and the system comprises a pulse condition processing unit which is used for extracting pulse condition time sequence features through a hybrid network; the tongue picture processing unit is used for realizing tongue body region detection, segmentation and tongue picture feature extraction based on a two-way network; the symptom standardization unit is used for screening sound-to-text low-probability words, constructing a dynamic hot word window, performing vector comparison on the hot word window and a pinyin result thereof with a semantic vector library, acquiring candidate words, correcting the candidate words, performing natural language processing on a correction result, and acquiring a standardized symptom set; the large model core comprises a feature fusion unit, an auxiliary diagnosis unit and a treatment suggestion unit; and the user interaction module is used for being connected with the large model core, receiving user input and presenting an auxiliary diagnosis and treatment result. According to the application, quantitative acquisition and cross-modal fusion analysis are realized, a complex reasoning process is automatically completed, a structured diagnosis and treatment scheme is generated, the dialectical accuracy is high, the response speed is high, and the system is suitable for being deployed and applied in basic medical institutions.

The invention discloses a phonetic symbol generation method and device based on a deep neural network architecture and a storage medium, and the method comprises the steps: predefining a universal Chinese phonetic symbol system based on Pinyin as a unified output standard, and constructing a modeling architecture comprising a parallel text encoder, an acoustic encoder and a single decoder; the double encoders respectively process text and audio input and generate a pronunciation detail / acoustic feature hidden state sequence consistent in dimension format, the single decoder converts and outputs Chinese phonetic symbols conforming to Chinese cognition based on the sequence and a universal Chinese phonetic symbol system, and the hidden state sequence provides deep features for the decoder to support accurate alignment. According to the phonetic symbol generation method based on the deep neural network architecture, output is visual and easy to understand, cognition of a Chinese user is fitted, the learning threshold is greatly reduced, and error accumulation of a traditional process can be avoided.

1. Name of the design product: Pinyin learning machine. 2. Use of the design product: The design product is used for learning machine for children to practice pinyin. 3. Design points of the design product: in shape. 4. Picture or photo best indicating the design points: perspective view 1.

The invention discloses a voice data processing method, a vehicle, a processor and a program product. The method comprises the following steps: acquiring to-be-converted voice data, and converting the to-be-converted voice data into initial text data; segmenting the initial text data to obtain multiple pieces of sub-text data; converting the sub-text data from a text format to a pinyin format to obtain first pinyin data; based on a prefix tree and the first pinyin data, at least one piece of to-be-corrected text data in the sub-text data is determined, the at least one piece of to-be-corrected text data is corrected, target sub-text data is obtained, and nodes in the prefix tree are used for representing pinyin characters and multiple texts corresponding to the pinyin characters; and merging the multiple pieces of target sub-text data corresponding to the multiple pieces of sub-text data to obtain target text data corresponding to the to-be-converted voice data. The technical problem of low voice data conversion accuracy is solved.

1. Name of the product in this design: Intelligent ticket interpretation graphical user interface for electronic devices. 2. Purpose of this design: An electronic device. 3. The key design feature of this product is its graphical user interface. 4. The image or photo that best illustrates the design points: Design 1 Interface Change State Diagram. 5. Design 1 is designated as the basic design. 6. Purpose of the graphical user interface: for stock scoring. 7. Description of the changing states of the graphical user interface: Clicking the search box in the Design 1 main view and entering any stock code / full pinyin / first letter will automatically redirect to the Design 1 interface state change diagram, with a page score (100-60 points); Clicking the search box in the Design 2 main view and entering any stock code / full pinyin / first letter will automatically redirect to the Design 2 interface state change diagram, with a page score (60-20.00 points, excluding 60 points); Clicking the search box in the Design 3 main view and entering any stock code / full pinyin / first letter will automatically redirect to the Design 3 interface state change diagram, with a page score (below 20 points); The expanded Design 1 main view diagram is the interface after the Design 1 main view is expanded; the expanded Design 2 main view diagram is the interface after the Design 2 main view is expanded; the expanded Design 3 main view diagram is the interface after the Design 3 main view is expanded.

The application provides a recording script generation method, device, equipment and medium, the method comprises the following steps: obtaining a custom pinyin combination sequence; based on the preset mapping relationship between the pinyin sequence and the Chinese character sequence, converting each pinyin in the pinyin combination sequence into the corresponding Chinese character to obtain a Chinese character combination sequence; inputting the Chinese character combination sequence into the trained text generation model to obtain an initial recording script; correcting the initial recording script to obtain a target recording script. According to the actual demand, the pinyin sequence input by the embodiment of the application can be customized to generate a recording script with less text and containing all pinyin types, thereby further reducing the recording corpus required for building a speech synthesis model and reducing the threshold of sound library customization.

A method and apparatus for Chinese medical named entity recognition based on multi-level adaptive semantic enhancement, the method comprising: (1) representing Chinese text as T={C1、C2、···、C N}, construct character C i Features, including character features, boundary features, radical features, and pinyin features; (2) Character-level C is generated through the ERNIE-Health pre-trained model. i The features are transformed into vector representations, including character feature vectors e. c Boundary eigenvector e b , radical feature vector e r Pinyin feature vector e p (3) Input the four character-level features into the character-level adaptive semantic enhancement module. Use convolutional layers to compress the character features, perform nonlinear transformation through gating mechanism and ReLU activation function, dynamically adjust semantic weights, and use multilayer perceptron for decompression to obtain enhanced character-level features; (4) Input the enhanced character-level features into the sentence-level adaptive semantic enhancement module, and adaptively learn the contribution of different characters in the sentence through compression and decompression mechanism; (5) Input the enhanced features after multi-level adaptive semantic enhancement module into BiLSTM-CRF module for label prediction. This invention can better capture semantic differences in context, solve the limitations of existing methods in feature weight allocation, and improve the overall performance of CNER task.

The application discloses an input method, device and system based on number sequence and number sequence vowel definition and symbol mapping, which comprises the following steps: defining a number sequence and a number sequence vowel set, wherein the number sequence is a fixed sequence of numbers 1-9, 0 and an extended character, the number sequence vowel set comprises 11 groups of vowels arranged according to the number sequence, and each group of vowels corresponds to a unique number sequence coding bit; establishing a mapping relationship between the 11 groups of vowels and a number sequence input unit, wherein the number sequence input unit comprises at least 10 digital key positions and an extended character key position arranged according to the number sequence; and generating a candidate word list according to the defined number sequence and number sequence vowel set and the mapping relationship in response to a user input operation. The application solves the problem of inconsistent coding logic and multiple keystrokes of vowels in the prior art, significantly improves the input efficiency of Chinese pinyin, supports multiple input modes to share a unified coding system and reduces the learning cost of users.

1. The name of the design product: graphical user interface of electronic device for children entertainment application. 2. The use of the design product: an electronic device. 3. The design points of the design product: in the graphical user interface content. 4. The picture or photo that best indicates the design points: design 1 interface change state figure 1. 5. Other views are conventional designs, omit other views. 6. Design 1 is designated as the basic design. 7. The use of the graphical user interface: operation and information display for children entertainment application. 8. Human-Computer Interaction Method of Graphical User Interface: Design 1's main view is the selection interface for a children's entertainment application. Clicking the "Idiom Chain" bubble icon button in the main view of Design 1 will redirect to the idiom chain interface. Two sets of bubbles float in the interface. The upper set of bubbles displays AI-generated idioms, and the lower set of bubbles displays the idiom to be answered. The first bubble displays the Chinese pinyin used for hints, while the other bubbles are empty. The upper right corner of the interface displays the number of successful chain attempts, as shown in Figure 1 of Design 1's interface change state. If the user cannot answer, clicking the "Hint" icon button at the bottom in Figure 1 of Design 1 will redirect to the hint interface. In this interface, the first and third bubbles of the lower set display the idiom... The prompt displays a Chinese character, as shown in Design 1, Interface Change State Diagram 2. The user then speaks the correct idiom based on the prompt in Design 1, Interface Change State Diagram 2. The interface jumps, and the correct idiom is displayed in a set of bubbles at the bottom. The number of successful idiom chains in the upper right corner increases by 1, as shown in Design 1, Interface Change State Diagram 3. In Design 1, Interface Change State Diagram 3, the user can use voice commands to continue the chain or click on any blank area of ​​the interface. The interface jumps to a new idiom chain interface, with two sets of bubbles floating in the screen. The upper set of bubbles displays the new idiom generated by AI, and the lower set contains the idiom to be answered. The first bubble displays the Chinese pinyin used for the prompt, while the other bubbles are empty. The upper right corner displays the current number of successful idiom chains, as shown in Interface Change State Diagram 3. State diagram 4; In state diagram 4 of the interface change in Design 1, when the user correctly answers the four-character idiom via voice, the number of bubbles displayed on the interface is 4, and the correct idiom is displayed in each bubble. The number of successful word chain attempts in the upper right corner of the interface increases by 1, as shown in state diagram 5 of the interface change in Design 1; In state diagram 5 of the interface change in Design 1, when the user gives a voice instruction to continue the word chain or clicks on any blank space on the interface, the interface jumps to a new word chain interface. Two sets of bubbles float in the interface. The upper set of bubbles displays the new idiom generated by AI, and the lower set of bubbles contains the idiom to be answered. The first bubble displays the Chinese pinyin used for the prompt, and the other bubbles are empty. The number of successful word chain attempts is displayed in the upper right corner of the interface, as shown in state diagram 6 of the interface change in Design 1; In the design In Figure 6 of Design 1, if the user's spoken idiom is incorrect, the interface jumps, and the incorrect idiom is displayed in a set of bubbles at the bottom of the interface. The bubbles are highlighted to provide a reminder, and the number of successful idioms in the upper right corner of the interface remains unchanged, as shown in Figure 7 of Design 1. The main view of Design 2 is the selection interface for a children's entertainment application. Clicking the "Idiom Chain" bubble icon button in the main view of Design 2 jumps to the idiom chain interface. Two sets of bubbles float in the interface. The upper set of bubbles displays AI-generated idioms, and the lower set of bubbles contains the idiom to be answered. The first bubble displays the Chinese pinyin used for prompting, while the other bubbles are empty. The upper right corner of the interface displays the number of successful idioms so far, as shown in Figure 1 of Design 2.In Design 2 Interface Change State Diagram 1, when a user correctly answers with a non-four-character idiom, the number of bubbles in the interface adapts in real time based on the number of characters in the idiom the user answers. The generated bubbles display the correct idiom, and the number of successful entries in the upper right corner of the interface increases by 1, as shown in Design 2 Interface Change State Diagram 2. The gray blocks in Design 1 Main View - Design 2 Main View, Design 1 Interface Change State Diagram 1 - Design 1 Interface Change State Diagram 7, and Design 2 Interface Change State Diagram 1 - Design 2 Interface Change State Diagram 2 all represent content screens.

The application discloses a speech text error correction method, a speech text error correction device, a speech text error correction equipment and a storage medium. The method comprises the following steps: obtaining speech information, obtaining a Chinese character sequence in the speech information and a pinyin sequence corresponding to the Chinese character sequence, generating a speech perception sequence according to the combination of the pinyin sequence and the Chinese character sequence, introducing an encoder with a separation mask, forming a coding sequence according to the speech perception sequence and the segmentation mask, establishing a mapping model according to the dependency relationship between an error text and a correct text, and obtaining a correct Chinese text corresponding to the speech information according to the coding sequence and the mapping model. The method can more accurately locate the part that may have errors, can better handle the complexity of the language structure, and thus improves the accuracy of error correction.

The invention discloses a pinyin three-key dynamic input method which comprises an expansion keyboard, a keyboard is fixedly connected to the surface of one end of the expansion keyboard, the surface of the expansion keyboard is divided into a vowel area, a double-initial-consonant area and a tone area, and the tone area is located on one side of the vowel area and the double-initial-consonant area; compared with Pinyin 26-key and 9-key input methods and other input methods, the Pinyin dynamic input method adopting single-key, double-key and three-key dynamic progressive operation has the advantages that the keyboard clicking frequency is low, the eye search and brain judgment strength is small, fatigue is not prone to occurring, the operation time is greatly shortened, and the input speed is higher; the method has the remarkable advantages of simple operation, high tone clamping and precision, better operation display quality, powerful pinyin library, tone, word library and progressive dynamic operation, and higher overall effect, and is more beneficial to popularization and improvement of the range capability of teaching, learning and application of Chinese characters and Chinese.

The application discloses an input method, device and system based on number sequence final consonant definition and column direction mapping. The method comprises the following steps: according to the consistency principle of pronunciation tongue position, merging final consonants in the Chinese pinyin scheme into 11 groups of number sequence final consonants, establishing a column direction mapping relationship between the 11 groups of number sequence final consonants and 11 column character keys of a keyboard, so that the character final consonants on each column character key are merged into the corresponding number sequence final consonants through column direction compression; in response to the input operation of a user, converting the character final consonants into corresponding number sequence final consonant codes according to the mapping relationship, and generating a candidate word list. The application realizes single key triggering of final consonants by systematically merging final consonants into 11 groups and establishing a determined mapping with the column direction of the keyboard, solves the problems of multiple key strokes and inconsistent coding logic in the prior art, significantly improves the input efficiency of the Chinese pinyin, supports multiple input modes to share a unified coding system, and reduces the learning cost of users.

1. Name of the product in this design: Teaching aids. 2. Purpose of this design: To be used as a teaching tool for training in pinyin / musical note recognition. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

The invention provides a Chinese named entity recognition method based on Chinese character multi-feature fusion dictionary information, and the method comprises the steps: based on Chinese character, font and pinyin features, fusing dictionary information, constructing three character and word sequences, obtaining character embedding vectors of characters and words through table look-up, splitting the characters into basic parts, and splitting the words into synthesis parts of the characters. The method comprises the following steps of: extracting corresponding font embedding vectors by utilizing a convolutional neural network, converting characters into pinyin, converting words into initial and final consonants of the characters, extracting corresponding pinyin embedding vectors by utilizing the convolutional neural network, finally performing linear mapping on the characters, the font and the pinyin embedding vectors, and fusing relative position codes in corresponding character and word sequences. The method comprises the following steps: obtaining final character, font and pinyin feature vectors through an improved Transform model, splicing the feature vectors, carrying out linear mapping to obtain a fusion feature vector, and predicting an entity label type through a conditional random field. According to the scheme, the accuracy and efficiency of Chinese named entity recognition can be improved.

This invention provides a method and apparatus for identifying online nuisance text, comprising: preliminarily judging the target online text by extracting URL links from the target online text; if the judgment cannot be made, calculating the invalid information score and generating a pinyin list, a keyword list, and a keyword pinyin list for the target online text; calculating the online nuisance score for each keyword by analyzing the distribution of the character elements of each keyword in the target online text and the distribution of the keyword pinyin in the pinyin list of the target online text; revising the online nuisance score based on the invalid information score, and obtaining the online nuisance text recognition result based on the revision result. This invention can accurately identify online nuisance text through fuzzy matching of online nuisance keyword characters and pinyin, and can effectively address information hiding methods such as segmentation, reverse order, vertical text arrangement, and homophones in the target text.