53 results about "Natural language translation" patented technology

Text regions of natural language embedded in images are automatically translated via a clipboard buffer during a cut-and-paste command according to an isolation rule defining one or more types of image elements to be isolated, by examining the image elements, responsive to meeting the isolation rule, transferring the image element from the clipboard to an isolation store, disabling pasting of the image element; recognizing text within the isolated image; determining a natural language in which the recognized text is expressed; performing natural language translation of the recognized text into a user-specified destination natural language; producing image data for the translated text; overlaying the image data onto the embedded text in the isolated image element; and pasting the modified image element from the isolation store to a user-designated destination points within a destination computer file.

Cross-lingual information retrieval is disclosed, comprising: translating a received query from a source natural language into a target natural language; performing a first information retrieval operation on a corpus of documents in the target natural language using the translated query to retrieve a set of pseudo-feedback documents in the target natural language; re-translating the received query from the source natural language into the target natural language using a translation model derived from the set of pseudo-feedback documents in the target natural language; and performing a second information retrieval operation on the corpus of documents in the target natural language using the re-translated query to retrieve an updated set of documents in the target natural language.

Information elements such as text, tables, graphics, and hyperlinks, are intercepted during their transfer from a computer source to a computer destination, such as during a cut-and-paste operation. It is determined if each intercepted information element is expressed in a natural language which matches a user-specified natural language intended for the destination, and if not, one or more natural language handling actions such as translation or isolation of the information elements is performed in order to match the desired destination language. Translated information elements are delivered to the destination, and isolated elements are placed in a data store for later review and / or exchange with other elements.

A method and apparatus are provided for performing natural language translation in a finite domain, e.g., where the finite domain describes a specific subject area or field of use. In one embodiment, a method for translating user input relating to a finite domain includes receiving user input in a source language and translating the user input into a target language in accordance with the finite domain. In some embodiments, the resultant output is substantially grammatically correct and / or sociolinguistically appropriate.

A process for transferring content from one computer resource to another by enabling automatic cutting-and-pasting in a destination first, source second sequence, a user selecting insertion points in the contents of a destination computer resource, followed by the user selecting information elements in a source computer resource, subsequently automatically intercepting transfer of the selected information elements to the destination, determining which intercepted information elements are expressed in a natural language not matching a user-specified natural language, invoking a rule management user interface to allow the user to define an action to be taken, performing the specified language handling actions on the intercepted information elements, and transferring translated information elements to the destination computer resource.

A computer natural language translation system inputs source language text and outputs target language text. The target language text is generated from the source language text using stored translation data generated from examples of source and corresponding target language texts. The stored translation data includes a plurality of translation components, each having surface data representative of the order of occurrence of language units in the component; dependency data related to the semantic relationship between language units in the component; and link data linking dependency data of language components of the source language with corresponding dependency data of language components of the target language. The surface data of the source language is used in analyzing the source language text, and the surface date of the target language is used in generating the target language text. The dependency data and link data is used in transforming the analysis of the source text into an analysis for the target language.

A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

A computer implemented method of translating source material in a source natural language into a target natural language includes receiving a first data input which is a first part of a sub-segment of a translation of the source material from the source natural language into the target natural language, identifying a selectable target text sub-segment in the target natural language associated with the received first data input, and outputting the selectable target text sub-segment. The selectable target text sub-segment is extracted from a corpus of previously translated text segment pairs, each text segment pair having a source text segment in the source natural language and a corresponding translated text segment in the target natural language.

Dynamic language translation is provided for a content portion through the use of a dynamic translation service which stores language information associated with specific client and user information. The dynamic translation service determines a language based on the client and user information. A skeleton of the content portion is then determined containing content elements of the content portion. The skeleton content elements are translated into the determined language based on the client and user information using stored translation tables of each skeleton content element or using dynamic natural language translation of each skeleton content element. The translated skeleton content elements are then merged into the content portion.

The translation system and method as a natural language translation technique of multiple language general-purpose man-machine interaction can meet following requests: guaranteeing quality for transmission of semantic information; using native language only for man-machine interaction; automatic conversion to translations of multiple languages. The invention is applicable to short message, E-mail, Web page, information translation for databases (for ex. Digital library), multiple language negotiation in E-commerce, multiple language shared BBS as well as remote or face-to-face multiple language communication.

The invention provides a computer implemented method for use in a translation system. A computer-implemented method for use in natural language translation. The method involves attaching pieces of linguistic information to two or more source language elements in a source material in a first natural language. The pieces of linguistic information are matched to one or more predetermined parse rules. Associations are then formed between the two or more source language elements to form terminology candidates, which are then presented to human reviewers. Terminology candidates are subsequently validated by a user, becoming validated terminology which is then translated into a second, different, natural language, becoming translated terminology. The translated terminology can then be loaded into a machine-translation dictionary which can be used during subsequent machine-assisted translations.

A computer-implemented method for use in natural language translation comprises performing in software processes, the steps of: comparing source material with stored material in a first natural language, said stored material having previously been translated from said first natural language to at least a second natural language, identifying at least a part of said source material which has a relationship with at least a part of said stored material, outputting said identified part of source material and said identified part of stored material in a form suitable for review by a user, and replacing said identified part of source material with said identified part of stored material to assist full translation of said source material from said first natural language to at least said second natural language.

The present invention is an Advanced Natural Language Translation System (ANLTS). It discloses a method to address the most common variation in the world, which is communication gap between people of different ethnicity. Typically, communication is said to be successful between two people if someone speaks and opponent party can understand. In other words the intended recipient's brain language area can comprehend the speech. The problem of not understanding the speech of others is the cause of language barriers. So, this invention discloses a method to solve the language barrier problem where it is capable of interpreting meaning of speech in one language to a language native to another—basically to a language the recipient brain can comprehend.Imagine a world where we can communicate with our native language to everyone without the need of human translators, interpreters, hand-held device and language translation books. In order to facilitate language translation, this present invention recognizes the speech, collects the language comprehensive information from every recipient's brain language area within the audible range and sends it to voice processing center for analyzing. Then, it translates the collected speech to intended recipient(s) native language by using more than 6,700 language dictionaries database. The translated language is retransmitted in audible frequency to the language area of each recipient(s) brain.

A machine or computer translation system and method which translates texts (conveying their meanings) from one natural language to another. The system and method have a modular structure for organizing languages, which in combination with a transitory (indirect) method of translation allows for the creation of a multilingual system that is capable of translations in any direction between any of the included languages. Every linguistic module includes a dictionary of words and phrases, a list of operational functions, and parameters that guide the conversion processes needed to perform a translation from one language to another. The system further utilizes an algorithm designed for a rule-based machine translation.