Abstract: The present translation system translates visual input and/or audio input from one language into another language. Some implementations incorporate a context-based translation that uses information obtained from visual input or audio input to aid in the translation of the other input. Other implementations combine the visual and audio translation. The translation system includes visual components and/or audio components. The visual components analyze visual input to identify a textual element and translate the textual element into a translated textual element. The visual image represents a captured image of a target scene. The visual components may further substitute the translated textual element for the textual element in the captured image. The audio components convert audio input into translated audio.

Abstract: The present disclosure discloses a method and apparatus of selecting a word sequence for a text written in a language without word boundary in order to solve the problem of having excessively large computation load when selecting an optimal word sequence in existing technologies. The disclosed method includes: segmenting a segment of the text to obtain different word sequences; determining a common word boundary for the word sequences; and performing optimal word sequence selection for portions of the word sequences prior to the common word boundary. Because optimal word sequence selection is performed for portions of word sequences prior to a common word boundary, shorter independent units can be obtained, thus reducing computation load of word segmentation.

Abstract: An image processing apparatus includes a region dividing section, an character recognizing section, a classifying section, a translating section, a calculation section and a correcting section. The region dividing section divides a document image into sentence regions. The character recognizing section recognizes characters in the respective sentence regions. The classifying section classifies the sentence regions into groups in accordance with sizes of the characters. The translating section translates a sentence into a given language for each of the sentence regions. The calculation section calculates a character size of a sentence, which has been translated for each of the sentence regions by the translating section. And The correcting section corrects a size of a translated character of each character region for every sentence region classified into the same group such that the character sizes calculated by the calculating section become equal.

Abstract: A rule based apparatus and method for modifying word annotations in an annotated text base is described. The apparatus includes an index creator component for creating an index of word annotations. An annotations modifying component for modifying word annotations, and a retriggering component, responsive to said annotations modifying component, for retriggering a rules engine to modify all occurrences of a matching word annotation in said annotated text base and updating the index of word annotations with the modified occurrences of a matching word annotation in said annotated text base.

Abstract: A method, computer program product, and system are provided for correcting one or more typed words on an electronic device. The method can include receiving one or more typed words from a text input device and generating one or more candidate words for the one or more typed words. The method can also include receiving an audio stream at the electronic device that corresponds to the one or more typed words. The audio stream can then be translated into text using the one or more candidate words, where the translation includes assigning a confidence score to each of the one or more candidate words. Based on the confidence score associated with each of the one or more candidate words, a candidate word can be selected among the one or more candidate words to represent each portion of the text. A word from the one or more typed words can be replaced with the selected candidate word based on the value of the confidence score associated with the selected candidate word.

Abstract: Automated question answering is disclosed that relates to the selection of an answer to a question from a pool of potential answers which are manually or automatically extracted from a large collection of textual documents. The a feature extraction component, a feature combination component, an answer selection component, and an answer presentation component, among others, are included. The input to the system is a set of one or more natural language questions and a collection of textual document. The output is a (possibly ranked) set of factual answers to the questions, these answers being extracted from the document collection.

Abstract: A document analysis, commenting, and reporting system provides tools that automate quality assurance analysis tailored to specific document types. As one example, the specific document type may be a requirements specification and the system may tag different parts of requirements, including actors, entities, modes, and a remainder. However, the flexibility of the system permits analysis of any other document type, such as instruction manuals and best practices guides. The system helps avoid confusion over the document when it is delivered because of non-standard terms, ambiguous language, conflicts between document sections, incomplete or inaccurate descriptions, size and complexity of the document, and other issues.

Abstract: The present invention provides an interactive system and method for effective and convenient language translation. The system and method provides a translation window that is opened in conjunction with a Web page window containing Web pages hosted on the Internet. The translation window and Web page window are automatically adjusted in size and position so that they fit on one user-viewable screen without overlapping. The translation window is linked to a translation dictionary database accessible through the Internet which provides accurate and comprehensive definitions of the words that are identified to be translated.

Abstract: Example methods and apparatus to display localized resources in a process control system are disclosed. A disclosed example method includes receiving in a server a locale identifier and a resource identifier from an application, identifying via the server a language file in a database that corresponds to the locale identifier, determining via the server using the language file a resource included within a memory that corresponds to the resource identifier, accessing the resource from the memory via the language file, and sending via the server the resource to the application to display the resource in a format associated with the locale identifier.

Abstract: The present invention relates to a method and apparatus of translating a language using voice recognition. The present invention provides a method of translating a language using voice recognition, comprising: receiving a voice input comprising a first language; acquiring at least one recognition candidate corresponding to the voice input by performing voice recognition on the voice input; providing a user interface for selecting at least one of the acquired at least one recognition candidate; and outputting a second language corresponding to the selected at least one recognition candidate, wherein the type of the user interface is determined according to the number of the acquired at least one recognition candidate, and an apparatus of translating a language using voice recognition for implementing the above method.

Abstract: A translation apparatus capable of producing an optimal translation of an input sentence is provided.

Abstract: Methods, systems and computer program products provide reusable controls for automatically translating text with a reusable control by identify a plurality of variables comprising at least a source and a target language, identifying when translation should be invoked for text in the control and encapsulating said steps of initializing and identifying in order to make a reusable data object. Control objects for controlling text are also provide which include a text property for storing data corresponding to the text to be controlled by the control object, a translation language property which indicates a language to which the text to be controlled is to be translated and a translation method which performs translation of data in the text property.

Abstract: The teachings described herein generally relate to a multilingual electronic translation of a source phrase to a destination language selected from multiple languages, and this can be accomplished through the use of a network environment. The electronic translation can occur as a spoken translation, can be in real-time, and can mimic the voice of the user of the system.

Abstract: A classifier may include logic to parse incoming content and to compare a key term in the content to stored content related to multiple prior messages, where the stored content is classified with respect to one or more categories. The logic may produce a score for the content based on the comparing, relate the score to one of the one or more categories, and produce a result based on the comparing, producing, or relating.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating suffix rewriting rules. A method includes obtaining a plurality of canonical suffix-rewriting rules each associated with one or more words, generating a suffix tree from the words, selecting a minimum colored subset of the nodes and leaves in the suffix tree, and generating a plurality of final suffix-rewriting rules from the nodes in the minimum colored subset. Another method includes receiving applicable and non-applicable words for a suffix-rewriting rule, generating a suffix tree from the applicable words and the non-applicable words, selecting a minimum colored subset of the nodes and leaves in the suffix tree, and generating a plurality of suffix-rewriting rules, wherein each rule corresponds to a node in the minimum colored subset with a valid status.

Abstract: The invention provides a system and method for indexing and organizing voice mail message by the speaker of the message. One or more speaker models are created from voice mail messages received. As additional messages are left, each of the new messages are compared with existing speaker models to determine the identity of the callers of each of the new messages. The voice mail messages are organized within a user's mailbox by caller. Unknown callers may be identified and tagged by the user and then used to create new speaker models and/or update existing speaker models.

Abstract: An information provision system capable of providing attribute information to a contextually appropriate portion as well as a linguistic unit including a specific character string expression is provided.

Abstract: Computer implemented methods, computing devices, and computing systems, wherein relationships of words or phrases within a textual corpus are assessed via frequencies of occurrence of particular words or phrases and via frequencies of co-occurrence of particular pairs of words or phrases within defined tracts of text from within the textual corpus.

Abstract: Automated question answering is disclosed that relates to the selection of an answer to a question from a pool of potential answers which are manually or automatically extracted from a large collection of textual documents. The a feature extraction component, a feature combination component, an answer selection component, and an answer presentation component, among others, are included. The input to the system is a set of one or more natural language questions and a collection of textual document The output is a (possibly ranked) set of factual answers to the questions, these answers being extracted from the document collection.

Abstract: The present invention involves using one or more statistical classifiers in order to perform task classification on natural language inputs. In another embodiment, the statistical classifiers can be used in conjunction with a rule-based classifier to perform task classification.