199 results about "Input language" patented technology

An input linguistic description is converted into a speech waveform by deriving at least one target unit sequence corresponding to the linguistic description, selecting from a waveform unit database for the target unit sequences a plurality of alternative unit sequences approximating the target unit sequences, concatenating the alternative unit sequences to alternative speech waveforms and presenting the alternative speech waveforms to an operating person and enabling the choice of one of the presented alternative speech waveforms. There are no iterative cycles of manual modification and automatic selection, which enables a fast way of working. The operator does not need knowledge of units, targets, and costs, but chooses from a set of given alternatives. The fine-tuning of TTS prompts therefore becomes accessible to non-experts.

Techniques for adapting a virtual keyboard for multilingual input are disclosed. By way of example, a method of adapting a virtual keyboard for multilingual input includes the steps of detecting an input language and displaying a virtual keyboard corresponding to the input language upon detection of the input language. The identifying step may include automatic identification of an input language, such as by one or more language recognition modules, or it may include manual selection of an input language and activation of at least one language recognition module operative to recognize at least the input language upon selection of the input language.

In one embodiment, the invention provides a method for machine translation of a source document in an input language to a target document in an output language, comprising generating translation options corresponding to at least portions of each sentence in the input language; and selecting a translation option for the sentence based on statistics associated with the translation options.

The invention provides a multi-robot path planning and coordination collision prevention method based on fuzzy logic. The method comprises the steps of confirming an input variable and an output variable of a fuzzy controller by setting up the fuzzy controller with robots as a system, using related languages to describe the input variable and the output variable of the fuzzy controller, confirming a qualitative reasoning principle according to the fuzzy control theory, setting up fuzzy control rules according to input signals and output signals of the fuzzy controller, selecting a subordinating degree function of each input language variable and a subordinating degree function of each output language variable, finally, conducting defuzzification, conducting voting on the basis of the maximum principle of the subordinating degree functions, conducting corresponding motions on the robots, and completing the task for planning a path of a single robot. On the basis of the method, the other robots are regarded as dynamic front barriers, and the aim of coordination collision prevention of the multiple robots can be achieved.

A method and computer system for translating sentences between languages from an intermediate language-independent semantic representation is provided. On the basis of comprehensive understanding about languages and semantics, exhaustive linguistic descriptions are used to analyze sentences, to build syntactic structures and language independent semantic structures and representations, and to synthesize one or more sentences in a natural or artificial language. A computer system is also provided to analyze and synthesize various linguistic structures and to perform translation of a wide spectrum of various sentence types. As result, a generalized data structure, such as a semantic structure, is generated from a sentence of an input language and can be transformed into a natural sentence expressing its meaning correctly in an output language. The method and computer system can be applied to in automated abstracting, machine translation, natural language processing, control systems, Internet information retrieval, etc.

Strings entered into a computer system are converted to a common language. The process of converting strings to a common language comprises determining a user-selected target language, associating a user-selected primary input language with the target language and associating a user-selected secondary input language with the target language. The process further comprises obtaining a string of at least one character, converting the obtained string from the primary input language to the target language if the obtained string corresponds to a valid string in the primary input language and converting the obtained string from the secondary input language to the target language if the obtained string corresponds to a valid string in the secondary input language and is not a valid string in the primary input language.

The invention provides a system and method for translingually searching a piece of information from an electronic document, a website or the Internet. The system first dialectally standardizes the primary query in the input language entered by the user and then translates the standardized query into an optimized search string in the target document language. Using the translated query, the system performs a search and highlights each matching object with an annotation callout or bubble to assist the user to navigate through the search results.

In order to get rid of the direct torque control system bigger pulse torque issue, it invents an electric power driven assistant steering system based on intelligence control, introducing fuzzy neural network into the electric driven torque control, not relying on the controlled precision model, with the established fuzzy strategy being able to get rid of the nonlinear strong coupling defects of the fuzzy strategy, with better self learning, parameter automatic control and adjustment, improved system self adaptation abilities. The controller is made of MCU, PWM, and the power source module, with torque, velocity, and driven locomotive feedback current as the input language variable, through offline model construction, it forms control strategy and on line control, realizing electric assisted steering intelligent control. It applies to sedans, fuel cars, locomotives, with agile and light weight, greatly improved in operation comfort and stability.

A method and computer system for translating sentences between languages from an intermediate language-independent semantic representation is provided. On the basis of comprehensive understanding about languages and semantics, exhaustive linguistic descriptions are used to analyze sentences, to build syntactic structures and language independent semantic structures and representations, and to synthesize one or more sentences in a natural or artificial language. A computer system is also provided to analyze and synthesize various linguistic structures and to perform translation of a wide spectrum of various sentence types. As result, a generalized data structure, such as a semantic structure, is generated from a sentence of an input language and can be transformed into a natural sentence expressing its meaning correctly in an output language. The method and computer system can be applied to in automated abstracting, machine translation, natural language processing, control systems, Internet information retrieval, etc.

A language such as English or a language group such as an Asian language group is recognized based upon document image data. The document image data is processed to determine a minimal circumscribing rectangle for each character. The layout characteristics of the minimal circumscribing rectangles are quantified in a discrete number of ranges. The layout characteristic information includes a certain ratio with respect to the minimal circumscribing rectangle height and width as well as a black pixel density in the minimal circumscribing rectangle. Based upon the quantified layout characteristic information, an occurrence probability of a predetermined number of characters is determined using training data for a predetermined number of languages. The occurrence probability is stored in a table for later reference for an unknown input language.