55 results about "Language processor" patented technology

A software system is provided to allow a computer to install and process web applications according to the invention. Such web applications are written as web pages that have access to the full range of operating system resources, including those not accessible through a web browser. Preferably, a web application is built using three types of languages used for constructing web pages, namely: (a) a visual presentation language; (2) a data modeling language; and (3) a scripting language for embedding logic. The software system preferably comprises a web application manager, an operating system interface module, a scripting language interpreter, and optionally a web browser and/or a data modeling language processor. Various other features such as data caching and security filtering are provided in accordance with such a system.

Reducing search-ability of text-based problem statements. An input text representing a problem statement using context phrases and content-bearing phrases, and having a first level of search-ability, is converted to one or more variants representing the same problem statement but with reduced search-ability. A search for one of the variants is unlikely to return the original problem statement, or any of the other variants. An ontology is used that specifies a set of keywords related to the problem statement, associates each keyword with a respective language property definition and a respective equivalence class, and indicates a subset of the set of keywords as non-replaceable keywords. A language processor uses the ontology to parse the input text and generate one or more variations.

A method of operator overloading that enables a user of a program development environment to view both the structure of the operands of the operation being overloaded, and also the context in which the operator is being used is disclosed. The present invention utilizes a parse tree created by a language processor. The use of the parse tree, which may be represented as a class, allows the context information to be made available to a class designer. Objects of the parse tree class include methods designed to identify the operator at a root and to retrieve left and right trees. An assignment function is defined which uses two parse tree objects as arguments and performs an indicated mathematical operation based upon the context revealed by the parse tree objects. The assignment function may exist in more than one class and be overloaded. The overloading of the assignment function enables the context within which the mathematical operation is occurring to become visible and be acted upon.

The present invention discloses an automatic detection method for language processing strategy based on a virtual processor and a detection system. The detection system takes a computer as a physical carrier. A virtual processor of which the function is consistent with that of a language processor is realized in the computer according to the processing strategy used in the language processor. Then, the output of all channels of the language processor is sampled in real time by using the computer and a multichannel high-speed sampling hard disk as carriers. The pulse sequence of each channel, which is obtained by sampling, is compared with the pulse sequence obtained by the virtual processor in real time so as to automatically detect whether the language processing strategy is correct or not. The present invention can also provide much information on assisting in correcting wrong language processing strategy according to comparison results, effectively verify the correctness of the existing language processing strategy, compare different language processing strategy, and provide an effective technical platform for developing new language processing strategy.

A digital computing component and method for computing configured to execute the constructs of a high-level software programming language via optimizing hardware targeted at the particular high-level software programming language. The architecture employed allows for parallel execution of processing components utilizing instructions that execute in an unknown number of cycles and allowing for power control by manipulating the power supply to unused elements. The architecture employed by one or more embodiments of the invention comprise at least one dispatcher, at least one processing unit, at least one program memory, at least one program address generator, at least one data memory. Instruction decoding is performed in two stages. First the dispatcher decodes a category from each instruction and dispatches instructions to processing units that decode the remaining processing unit specific portion of the instruction to complete the execution.

Embodiments are directed to a natural language processing (NLP) system configured to receive a natural language (NL) input and perform an analysis operation to generate a NL output. The NLP system is configured to generate at least one confidence level based at least in part on at least one portion of the analysis operation. The NLP system is further configured to integrate at least one disfluency into the NL output based at least in part on the at least one confidence level.

A language processor according to the present invention includes a probability calculating section (103) having a probabilistic model by which a probability that a set of partial referring expression pairs represents an object, each pair consisting of an attribute value expression and a part expression modified by the attribute value expression, the set of referring expression pairs including a pair concerning the whole object, is represented by a product of probabilities each of which is a probability that each partial referring expression pair represents the object. The probability that each partial referring expression pair represents the object is obtained using a probability that the object is chosen, a probability that represents the salience of a part of the object, and a probability representing relevance between the part of the object and an attribute value, a probability that the part expression is used for a part of the object, and a probability that the attribute value expression is used for an attribute value. It further includes at least one memory section (101) for storing values of probabilities used for the probabilistic model. The probability calculating section calculates the probability that the set of partial referring expression pairs represents the object using the values of probabilities stored in the at least one memory section and the probabilistic model.

This invention is a digital multi-channel language processor use in artificial cochlea. This technology connects electronic technology and medical instrument. It contains the circuit of sound collector; control circuit of automatic gain. The turner of modulus can turn the voice signal to digital signal and feedback the digital signal to digital message processor. The processor can process this digital signal to produce modulated message after coded. The modulator can modulate the modulated message to carrier channel, and amplify its power. The comparers can feedback the digital modulated message to processor. The circuit of computer interface used to connect this processor to computer does not volatilize the memory, but storages the program of the digital message and the parameter of user of this voice processor.

A computer-implemented method, a computer program product, and an incremental learning system are provided for language learning and speech enhancement. The method includes transforming acoustic utterances uttered by an individual into textual representations thereof, by a voice-to-language processor configured to perform speech recognition. The method further includes accelerating speech development in the individual, by an incremental learning system that includes the voice-to-language processor and that processes the acoustic utterances using natural language processing and analytics to determine and incrementally provide new material to the individual for learning.

A system and method of automating the validation and control of peripheral director hardware in a switched fabric network. A system is provided that includes a script language processor for interpreting high-level statements and generating command functions understood by an application programming interface (API) associated with the switched fabric network, wherein the command functions include a query switch command, a query interface switch command, a write switch command, and a display result command; and a system for generating an output in response to a set of command functions submitted to the switched fabric network.

A system and method for generating at least one policy includes a policy document database containing at least one policy document containing at least one unstructured policy entry, and a natural language processor to analyze the at least one unstructured policy entry to generate least one formal policy, wherein a formal outcome of execution of the at least one formal policy corresponds to the at least one unstructured policy entry, and a rule processor to transform the at least one formal policy entry to generate at least one enforceable policy, wherein an enforcement outcome of execution of the at least one enforceable policy corresponds to the at least one formal policy entry.

A control method for a composite apparatus having at least a printer function, and further having a controller adapted to control an entire apparatus, a network connector adapted to connect to a network to send and receive a packet, and a printer language processor adapted to process a printer language. First, contents of the packet inputted via the network connector is analyzed, then if the analyzed packet is print data, the packet is transferred to the printer language processor, and if the analyzed packet is not the print data, the packet is transferred to the controller.

The present invention provides a non-copy shared stack and register set device and a dual language processor structure using the same, which achieve non-copy data sharing by controlling a selector and the stack pointer of a data stack. The selector is connected to each item of the data stack and a register of the register set, such that, when the register set requires to exchange data with the data stack, the selector is controlled and the stack pointer is updated thereby the selector is switched to make the stack item pointed by the stack pointer communicate with the register.

The invention discloses an artificial cochlea simulation neural remote measurement system and method. The system comprises a signal generator, a salinity test meter, a converter, a debugging box, a language processor and an implantation material, the signal generator is used for receiving synchronizing signals and outputting sine wave simulation neural signals, the input end is connected with the language processor, and the output end is connected with the converter; the salinity test meter is used for testing the brine water concentration of the placed implantation material; the converter is used for isolating saline water from the signal generator, the input end of the converter is connected with the signal generator, and the output end of the converter is placed in the saline water where the implantation material is located; the debugging box is used for converting commands sent from a computer into signals which can be accepted by the language processor, the input end of the debugging box is connected with the computer, and the output end of the debugging box is connected with the language processor. By means of the artificial cochlea simulation neural remote measurement system and method, the risk of artificial cochlea failure due to stimulation is reduced, the troubleshooting and debugging prior to implantation can be achieved, and the clinical research after the implantation is facilitated as well.

A system and method for automatically analyzing information related to a workers' compensation claim and for providing a corresponding case analysis report. A licensed user computer is programmed to upload via a computer network documents and data related to a workers' compensation claim and then to receive a downloaded case analysis report comprising analysis and a recommended plan of action regarding the workers' compensation claim. A server computer is programmed to receive the documents and data related to the workers' compensation claim. The server computer includes programming for a pdf/image text extractor, a checklist data provider, an information identifier, a natural language processor, an issue identifier, an issue analyzer, and a decision data model. The server computer is programmed to generate the case analysis report and to download the report to the licensed user computer.