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.

A system for supervised automatic code generation and tuning for natural language interaction applications, comprising a build environment comprising a developer user interface, automated coding tools, automated testing tools, and automated optimization tools, and an analytics framework software module. Text samples are imported into the build environment and automated clustering is performed to assign them to a plurality of input groups, each input group comprising a plurality of semantically related inputs. Language recognition rules are generated by automated coding tools. Automated testing tools carry out automated testing of language recognition rules and generate recommendations for tuning language recognition rules. The analytics framework performs analysis of interaction log files to identify problems in a candidate natural language interaction application. Optimizations to the candidate natural language interaction application are carried out and an optimized natural language interaction application is deployed into production and stored in the solution data repository.

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.

This invention relates to a method and apparatus for providing automatic language translation in a telecommunications network. Communications from a speaker or generator of text in one language are routed to a service center for automatically converting to another language. The service center stores the language preference(s) of destination terminals served by the center. If the input language of a message is one serviced by the center and one of the preferred languages of the destination terminal is serviced by the center, the center translates the message before delivering it to the destination terminal. Advantageously, this arrangement greatly enhances communications between individuals who have no common language in which both are fluent.

A method, system and computer program product for composing a reply to a text message received in a messaging application and automatically changing the settings of an input method editor are provided. The language of a received text message is determined and compared to a current input language of the input method editor. The input language of the input method editor is automatically changed to the determined language for the input of a reply to the received message by a user.

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.

An embodiment of the present invention is a method for generating software components from one or more business rule statements expressed in a language. Symbols of a vocabulary of a language and business rule statements expressed using the symbols of the vocabulary of the language are received as input. The language has grammatical rules. Each of the business rule statements is parsed in accordance with the grammatical rules to generate a language-based structure. The language-based structure is processed to generate an expression model. The expression model is processed to generate a logical model. The logical model is processed to generate platform-independent implementation model in response to a user request for such generation. A target platform description is received. The platform-independent implementation model is processed to generate a platform-specific implementation model using the target platform description. Software components are generated from the platform-specific implementation model for deployment.

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.

This invention relates to a method and apparatus for providing automatic language translation in a telecommunications network. Communications from a speaker or generator of text in one language are routed to a service center for automatically converting to another language. The service center stores the language preference(s) of destination terminals served by the center. If the input language of a message is one serviced by the center and one of the preferred languages of the destination terminal is serviced by the center, the center translates the message before delivering it to the destination terminal. Advantageously, this arrangement greatly enhances communications between individuals who have no common language in which both are fluent.

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.

In one embodiment, the invention provides a method for translating a document in an input language into an output language comprising: a) for each document fragment for which a translation is readily available, translating said document fragment based on said readily available translation; and b) for each remaining untranslated fragment for which a translation is not readily available, translating said untranslated fragment based on a model-based machine translation technique. A translation is readily available if a search reveals at least one matching translation for the document fragment in a translation database.

A sequence of input language (IL) instructions of a guest system is converted, for example by binary translation, into a corresponding sequence of output language (OL) instructions of a host system, which executes the OL instructions. In order to determine the return address after any IL call to a subroutine at a target entry address P, the corresponding OL return address is stored in an array at a location determined by an index calculated as a function of P. After completion of execution of the OL translation of the IL subroutine, execution is transferred to the address stored in the array at the location where the OL return address was previously stored. A confirm instruction block is included in each OL call site to determine whether the transfer was to the correct or incorrect call site, and a back-up routine is included to handle the cases of incorrect call sites.

The embodiment of the invention provides an input method adopting a keyboard to input content and an input device. The input method comprises the following steps: input position information input for several times are obtained; candidate keys are selected according to the input position information, and characters corresponding to the candidate keys are used as input characters; input language type information can be obtained, several groups of input characters obtained by several input are combined according to the input language type information; selective information is obtained, and the selected content is determined in the combined result according to the selective information. The input method and the input device solve the misinput problem of the input manner of the prior touch keyboard and the prior mechanical keyboard, and improve the input efficiency and the input accuracy on the premise of more according with the use habit of a user.

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.

A translator converts an input model, such as resulting from a simulation of a design to be verified, into an output model suitable for verification by a model checker. The input model, for example, may be produced using Simulink, and the output model, for example, may be a NuSMV model.

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.

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.

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.

Provided are a method and electronic device for voice translation. The electronic device includes a voice receiver configured to receive a voice signal; a processor configured to divide the voice signal into a plurality of voice segments, determine an input language and a speaker that correspond to each of the plurality of voice segments, determine a translation direction based on the input language and the speaker of the voice segments, and translate the voice segments according to the translation direction to generate a translation result; and an output device configured to output the translation result.

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 method of automatically establishing an input language for a handheld electronic device includes receiving a request to initiate the composition of a new message, receiving a selection of a particular contact that is the intended recipient of the message, and determining whether the particular contact has a stored preferred input language. If a preferred input language is stored, the method includes determining whether the preferred input language is different than the current input language (which may be a pre-established default input language). If the preferred input language is different, the method further includes switching the current input language to the preferred input language. Also provided is an improved handheld electronic device having one or more routines adapted to implement the method. Also provided is a method of indicating a preferred language in association with a call received by or placed to the device.

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.

Implementation of this invention provides a method of chatting. The method including: access to information input language, the language of the information backbone and determination of sentence patterns through the topic: Preferences, the sentence referred to ascertain the trunk and sentence language information topic attributes corresponding to the existence of the sentence referred to the sentence trunk and sentence patterns. If the response from the default, select a topic and attribute the corresponding period of respondents feedback, determine if it is a model from the the corresponding response mode, select a feedback. corresponds to the method. The invention also provides a chat system, which include: access modules, natural language processing modules, memory modules of language knowledge, understanding topic modules topic: storage units, reasoning module, reasoning knowledge storage unit send unit.