21 results about "Translation algorithm" patented technology

The invention discloses a text translation method and device, electronic equipment and a storage medium, and the method comprises the steps: translating an original text through employing a neural machine translation algorithm, and obtaining an initial translated text; inputting the initial translation text into a pre-constructed culture knowledge base, and outputting a content adjustment strategy corresponding to the initial translation text through the culture knowledge base; processing the initial translated text according to the content adjustment strategy to obtain an intermediate translated text, and then calling a pre-constructed policy database to verify the intermediate translated text; and generating a target translated text corresponding to the original text according to a verification result of the intermediate translated text. According to the technical scheme provided by the embodiment of the invention, the problems of cultural semantic deviation, content violation risk and the like in cross-regional translated text can be solved, ambiguity in the translated text is eliminated, and the accuracy and flexibility of a text translation result are improved.

This invention provides a consistency maintenance method for collaborative accessibility information annotation in shared maps, specifically addressing collaborative scenarios involving accessibility information annotation. The invention includes: designing a copy synchronization protocol based on scalar timestamps, enabling rapid determination of causal or concurrent relationships between operations with the aid of scalar timestamps; designing a method for partially copying accessibility information in shared map pairs, significantly reducing resource consumption such as memory usage and network resource requirements on mobile devices; improving traditional address space translation algorithms to maintain data consistency in collaboratively edited documents by multiple users in accessibility information annotation scenarios; and proposing a rule-based address space translation algorithm, ensuring that client operations not only follow rules established by various operations to guarantee semantic consistency between accessibility information but also ensure content consistency between copies. This invention can meet the needs of real-time collaborative annotation of accessibility information by multiple users in shared maps.

The invention discloses a Java program analysis-oriented intermediate representation construction method, which comprises the following steps of: performing single assignment form conversion on a Java bytecode to be processed to obtain a single assignment Java bytecode, and constructing a typeless intermediate representation through an abstract interpretation translation algorithm based on the single assignment Java bytecode. Constructing a type constraint and a type constraint graph by using the typeless intermediate representation based on a Java type check rule, and solving the type constraint graph by using a pruned lattice algorithm to obtain a typeless intermediate representation; according to the method, a common byte code mode is well utilized through single assignment transformation and a pruning-based lattice algorithm. Java byte codes based on a stack type virtual machine are converted into typeless three-address code intermediate representation based on a register virtual machine based on abstract interpretation, and generation of redundant statements is avoided as much as possible. And a pruning lattice algorithm is adopted, so that the type of an unknown type variable can be accurately and quickly determined, and a type reasoning result is ensured to be safe.

The invention relates to a language learning system, which comprises a learning system, a video player and a foreign language video material, and is characterized in that the output end of the learning system is electrically connected with the video player, and the foreign language video material is in data connection with the learning system and the video player through a data memory. By adopting the translation algorithm module and the subtitle display module, an English learning program is highly simplified, English learning becomes closer to a native language learning process, information of a foreign language video material is decomposed, extracted, translated and combined, a learner can comprehensively and accurately learn the foreign language video material, and meanwhile, the learning efficiency is improved. The translated subtitle information is transmitted to the video player in real time to be displayed, so that a learner can view the translated subtitle information while watching the video, and the learning efficiency and effect are improved.

The invention discloses an open-source intelligence acquisition and processing method based on an RPA technology, and the method comprises the steps: capturing economic data and statistics, financial market information, policy and regulation announcements, enterprise information, economic research reports and analysis, news reports and social media dynamics from the Internet through a distributed web crawler; extracting key information from the captured text by using an abstract extraction algorithm; translating the captured text in real time by using an intelligent translation algorithm; performing intelligent labeling on the captured text by using a labeling algorithm; classifying the grabbed texts by adopting an automatic classification algorithm; a mixed database strategy is adopted, a relational database and a document database are combined, captured texts, abstracts, translations, labels and classified data are stored in the database, and a structured intelligence resource library is formed. The method simplifies the deployment and maintenance process, is suitable for the intelligence analysis field of various scenes, and has important practical value and wide application prospect.

A training data generating device and a training data generating method are provided. The device stores first single language code data, the first single language code data corresponding to a first language. The device generates a second single language code data corresponding to each of the first single language code data based on a second language and a whole sentence translation algorithm. The second single language code data corresponding to the second language. The device aligns text segments corresponding to the first single language code data and the second single language code data. The device generates code-mixing data based on at least one valid segment position corresponding to the text segments of each of the first single language code data.

In certain implementations, a method includes receiving, by a network interface controller (NIC), a request for inter-process communication associated with a sending process of a distributed application. The request includes a logical network address for a destination process of the distributed application. The method includes executing, by the NIC, a network address translation process to translate the logical network address for the destination process to a translated network address for the destination process. The network address translation process includes executing, using a first portion of the logical network address, a lookup of a network address translation table to determine a first address; determining a translation modifier by executing a translation algorithm using a second portion of the logical network address; and determining the translated network address using the first address and the translation modifier. The method includes processing, by the NIC, a first message using the translated network address.

The application relates to a video repairing method and device based on a computer vision algorithm. The method comprises the following steps: extracting a to-be-repaired area in each first image frame of a to-be-repaired video; deleting the to-be-repaired area from the corresponding first image frame to form a missing area in the first image frame; repairing the missing area to obtain a second image frame; and combining the second image frame into a video. The technical scheme provided by the application extracts to-be-repaired features through an image translation algorithm by using the recognized video, and finally obtains an original image through post-processing, thereby solving the problems of difficult original video acquisition, time and labor consumption of manual processing, reducing management complexity and personnel cost, and the scheme is targeted to specific to-be-repaired areas, has high repairing accuracy, strong generalization performance, high speed and the like.

The invention discloses a multi-segment voice real-time splicing and playing method for an embedded terminal, and aims to solve the problems of high hardware cost, low storage efficiency, poor environmental adaptability and the like in the prior art. The method comprises the processes of customized voice library generation, voice library intelligent updating, multi-segment voice real-time splicing playing and the like. In a customized voice library generation link, high-frequency voice segments are screened by collecting actual interaction data of an embedded terminal. And the voice library is intelligently updated, the geographic position of the terminal is obtained by relying on the LBS base station positioning technology, the voice style of the corresponding region is matched, and the voice library is safely updated through block downloading and MD5 verification. In the multi-segment voice real-time splicing and playing link, a continuous numerical translation algorithm of hierarchical disassembly and unit matching is adopted, a playing sequence is generated through word-by-word matching of voice segments, and the PCM audio is spliced in combination with an overlapping smoothing algorithm. The method can be widely applied to embedded terminal scenes such as intelligent meters, industrial monitoring and consumer electronics.

The application provides a delay calibration method and device in an infectious disease space collection population model, and belongs to the technical field of infectious disease transmission modeling and risk assessment; the application adopts a delay time discretization method to convert continuous distribution into a discrete probability vector; an infected person allocation algorithm based on matrix operation and a time axis translation algorithm based on matrix operation are designed; the efficiency is significantly improved, and the time complexity is reduced from to; experimental verification shows that the processing speed of a 100-million-population city is at least improved by 7 times, and the processing speed of a single 100-million-population city can be improved by more than 10 times; the whole algorithm is based on matrix operation under a determined dimension variable, so it is easier to use GPU to accelerate operation, and then the algorithm can be extended to a real-time epidemic monitoring and early warning system in the future.

In certain implementations, a method includes receiving, by a network interface controller (NIC), a request for inter-process communication associated with a sending process of a distributed application. The request includes a logical network address for a destination process of the distributed application. The method includes executing, by the NIC, a network address translation process to translate the logical network address for the destination process to a translated network address for the destination process. The network address translation process includes executing, using a first portion of the logical network address, a lookup of a network address translation table to determine a first address; determining a translation modifier by executing a translation algorithm using a second portion of the logical network address; and determining the translated network address using the first address and the translation modifier. The method includes processing, by the NIC, a first message using the translated network address.

The present invention relates to a document editing system using a bidirectional digital braille conversion engine, which supports a visually impaired user to perform real-time conversion and editing between braille and text. The system comprises: a processor including an artificial intelligence inverse braille translation algorithm; a multi-language support braille input interface that receives a braille input from a user and converts the braille input into text data; document editing software that edits and stores the text data; a multi-output interface for providing the edited text data to the user as braille and voice outputs; and an integrated accessibility module that performs conversion between text and braille in real time according to an input of the user and supports compatibility with various digital platforms.

The invention relates to the field of audio output, and discloses a surround sound output method and device of a translation earphone and a storage medium. The method comprises the following steps: a pickup translation system performs three-dimensional pickup to acquire a first language voice and a sound source space position corresponding to the first language voice; performing translation processing on the first language voice according to a preset translation algorithm to generate second language voice; sending the second language voice and the sound source space position to left and right earphone loudspeaking systems; the left and right earphone loudspeaking systems receive the second language voice and the sound source space position; and generating left and right playing volume settings according to the sound source spatial position, and playing and outputting the second language voice based on the left and right playing volume settings. In the embodiment of the invention, the sound source orientation can be distinguished by outputting the translation voice through the translation earphone, and the translation communication efficiency in a multi-person face-to-face scene is effectively improved.

In certain implementations, a method includes receiving, by a network interface controller (NIC), a request for inter-process communication associated with a sending process of a distributed application. The request includes a logical network address for a destination process of the distributed application. The method includes executing, by the NIC, a network address translation process to translate the logical network address for the destination process to a translated network address for the destination process. The network address translation process includes executing, using a first portion of the logical network address, a lookup of a network address translation table to determine a first address; determining a translation modifier by executing a translation algorithm using a second portion of the logical network address; and determining the translated network address using the first address and the translation modifier. The method includes processing, by the NIC, a first message using the translated network address.

In certain implementations, a procedure involves a network interface controller (NIC) receiving a request for communication between processes, associated with a sending process of a distributed application. The request contains a logical network address for a target process of the distributed application. The procedure includes the NIC executing a network address translation process to translate the logical network address for the target process into a translated network address for the target process.The network address translation process involves performing a lookup in a network address translation table using the first part of the logical network address to determine an initial address; determining a translation modifier by executing a translation algorithm using the second part of the logical network address; and determining the translated network address using the initial address and the translation modifier. The process includes the NIC processing an initial message using the translated network address.

The disclosed technology relates to a method and system for detecting pirated decryption keys. The method involves the use of a computer tracer apparatus, comprising a translator algorithm and a query generator algorithm. The translator algorithm receives a decoder program and generates responses to queries based on a set of rules, including a state repair procedure. The query generator algorithm generates an initial and subsequent sets of queries based on inputs from the translator algorithm. The final output identifies potential traitor users. The system is executed on a quantum computer and includes modules configured for the same operations.

The invention provides a seismic data denoising method based on Contourlet transformation, and the method is characterized in that the method comprises the following steps: 1, carrying out the loading and preprocessing of seismic data; step 2, denoising is carried out by adopting multi-scale cyclic translation Contourlet transformation; step 3, adopting improved non-local mean filtering; and 4, processing and outputting data. According to the method, a cyclic translation algorithm and non-local mean filtering (FNLM) are combined, so that the denoising capability and weak signal identification capability of seismic signals are effectively improved.

The invention relates to the field of speech generation, and discloses a method and equipment for generating translation speech with specified tone, and a storage medium. The method comprises the following steps: receiving a target timbre audio; performing timbre extraction processing on the target timbre audio according to a preset timbre extraction algorithm to obtain a target timbre; receiving a first language voice; according to a preset translation algorithm, performing translation processing on the first language voice to obtain a second language voice; and according to the target timbre, performing mapping adjustment processing on the second language speech to obtain a target timbre translated speech. In the embodiment of the invention, the output voice of voice translation is close to the personalized characteristics of human voice, and the technical problem that the output voice of current voice translation is too mechanical and rigid and cannot effectively restore the tone of a speaker is solved.

The invention provides a training material generating device and a training material generating method. The device stores a plurality of first monolingual code data, and the plurality of first monolingual code data correspond to a first language. The apparatus generates second monolingual code data corresponding to each of the plurality of first monolingual code data based on a second language and a whole sentence translation algorithm, the plurality of second monolingual code data corresponding to the second language. The device aligns a plurality of word segments corresponding to the plurality of first monolingual code data and the plurality of second monolingual code data. The device generates a plurality of language code mixed data based on at least one effective word segment position corresponding to each of the plurality of character word segments of the plurality of first monolingual code data. The training data generation technology provided by the invention can correctly and efficiently generate language code mixed data based on the characteristics of various languages and referring to the content of the context.

Methods and systems for disentangling discriminative features of a user of a device from motion signals and authenticating a user on a mobile device are provided. In at least one aspect of the methods and systems, each captured motion signal is divided into segments. The segments are then converted into translated segments using one or more trained translation algorithms. The segments and translated segments are then provided to a machine learning system. Discriminative features of the user are then extracted from the segments and translated segments with the processor using the machine learning system that applies one or more feature extraction algorithms.