34 results about "Language independence" patented technology

A translation service is disclosed, the service being provided to a wireless mobile device through a selective downloading of information from a server. The downloaded information includes a translation architecture having a language independent translation engine and at least one language dependent translation database. The language dependent translation database includes translation templates and a translation dictionary. A specialized database for a selected city or cities in the world can also be downloaded. Translation between languages is realized by applying the language dependent translation database, and optionally the city specific translation database, to the translation engine. The translation engine implements a user-driven term replacement scheme for simplifying the translation process.

The disclosed system and method provides a user interface in which language-related content is decoupled from a document structure or content to permit the document to accept variable language text. The language-related content is stored separately from the document structure and content. The document without the language-related content acts like a template that can be populated with any type of language-related content. The language-related content can be provided in a separate file together with associated identifiers, and can be loaded into a cache or document object model (DOM) for processing. An XML file may be used for the language file, and the document may be constructed using HTML code. Document components can be assigned event handlers that cause pop-up boxes to be loaded and displayed with language-related content upon an event trigger.

A device user interface in which language is decoupled from a document is disclosed. The language content is stored separately from the document structure and may be located on a content specific server or on a language server. The language server permits centralized collection of language-related content and language services. The document without the language content acts like a template that can be populated with any type of language-related content. The language content can be provided in a separate file together with associated identifiers, and can be loaded into a cache or document object model (DOM) for processing. An XML file may be used for the language file, and the document may be constructed using HTML code. Document components can be assigned event handlers that cause pop-up boxes to be loaded and displayed with language-related content upon an event trigger.

The invention relates to the technical field of software engineering, in particular to a code level component assembly method based on grammar reconstruction in software development. The code level component assembly method based on the grammar reconstruction comprises the following steps: 1) expanding a normative grammar of a program language and establishing a new normative grammar which causesthe language to be capable of being constructed and assembled; and 2) assembling the code level components created according to the new normative grammar. The assembly method has the advantage of independent language, and can be used for software reuse in various fields. The method can support business process integration and reuse in different application fields and the customization and the integration of personalized services oriented to users by combining with a field component library.

The present invention provides a multilingual entity relationship extraction method and system based on an adversarial training mechanism, which encodes the target entity pair related target sentences in each language into the independent semantic space corresponding to each language and the consistent semantics corresponding to all languages space, to obtain the independent information of each language and the consistent information across languages ​​contained in the target sentence; and then use the independent attention mechanism of each language and the consistent attention mechanism of each language to measure the relative relationship type of each target sentence. Attention weight, finally combine the attention weights of all target sentences relative to each relationship type to obtain the global probability corresponding to each relationship type, select the maximum probability from the global probability corresponding to each relationship type, and finally get the relationship type corresponding to the maximum probability Predict relationships between target entity pairs. The method and system can deeply utilize the complementarity among multiple languages, and effectively improve the accuracy of the relationship extraction results in a multilingual scene.