Abstract: Methods and systems for transliterating characters from an input alphabet to an output alphabet are described. An input character of an input alphabet is received from a user. The input character is located on a phonetic map. The phonetic map includes each character of the input alphabet and each character of an output alphabet. In the phonetic map, respective characters of the input alphabet are located according to their phonetic similarity. Respective characters of the output alphabet are located within the phonetic map according to their phonetic similarity. And characters of the input alphabet and the output alphabet that are phonetically similar are located nearby one another on the phonetic map. One or more output characters that are near to the input character on the phonetic map are identified. At least one of the one or more output characters are provided for display to the user.

Abstract: A computer-implemented technique can include receiving, at a server including one or more processors, a source word in a source language. The technique can include determining, at the server, one or more potential translations for the source word in a target language different than the source language. The technique can include determining, at the server, one or more synonyms for each of the one or more potential translations to obtain a plurality of potential translations. The technique can include determining, at the server, one or more translation clusters using the plurality of potential translations and a clustering algorithm. Each translation cluster can contain all of the plurality of potential translations that have a similar denotation and each of the plurality of translations that have a similar denotation can be included in a specific translation cluster. The technique can also include outputting, at the server, the one or more translation clusters.

Abstract: A language expression apparatus and a method based on a context and a intent awareness, are provided. The apparatus and method may recognize a context and an intent of a user and may generate a language expression based on the recognized context and the recognized intent, thereby providing an interpretation/translation service and/or providing an education service for learning a language.

Abstract: Systems and methods for automatically extracting parallel word sequences from comparable corpora are described. Electronic documents, such as web pages belonging to a collaborative online encyclopedia, are analyzed to locate parallel word sequences between electronic documents written in different languages. These parallel word sequences are then used to train a machine translation system that can translate text from one language to another.

Abstract: A system and method are provided for processing an input document which enable assessment of the coherence of an abstract of the document. The method includes storing the document in memory and, for each sentence of the abstract, comparing the sentence with sentences of a main body of the document using textual entailment techniques to identify whether the sentence of the abstract entails a sentence in the main body of the document. Links can then be generated between the entailing sentences of the abstract and the corresponding entailed sentences of the document. The document and generated links are output. The links enable the coherence of the abstract to be evaluated, either manually or automatically, using an evaluation component of the system.

Abstract: An automated speech processing method, system and computer program product are disclosed. In one embodiment, a speech-to-text (STT) engine is used for converting an audio input to text data in a source language, and a machine translation (MT) engine is used for translating this text data to text data in a target language. In this embodiment, the text data in the target language is rendered on a display device, and different visualization schemes are applied to different parts of the rendered text data based on defined characteristics of the STT engine and the MT engine. In one embodiment, the defined characteristics include a defined confidence value representing the accuracy of the rendered text. For example, this confidence value may be based on both the accuracy of the conversion of the audio input and the accuracy of the translation of the text data to the target language.

Abstract: A method for transliteration includes receiving input such as a word, a sentence, a phrase, and a paragraph, in a source language, creating source language sub-phonetic units for the word and converting the source language sub-phonetic units for the word to target language sub-phonetic units, retrieving ranking for each of the target language sub-phonetic units from a database and creating target language words for the word in the source language based on the target language sub-phonetic units and ranking of the each of the target language sub-phonetic units. The method further includes identifying candidate target language words based predefined criteria, and displaying candidate target language words.

Abstract: Embodiments described herein enable text content on web pages to be displayable in multiple human languages, without need to generate a new page or otherwise navigate the user away from the page under viewing.

Abstract: A language interpretation system receives a request for an interpretation of a voice communication between a first language and a second language. Further, the language interpretation system provides the request to a human language interpreter. In addition, a machine language interpreter translates the voice communication into a set of text data. The text data is sent to a display device that displays the text during a human language interpretation performed by the human language interpreter.

Abstract: Systems and methods for multi-engine machine translations are disclosed. Exemplary methods and systems involve normalizing and/or tokenizing a source string using user-specific translation data. The user-specific translation data may include glossary data, translation memory data, and rule data for use in customizing translations and sequestering sensitive data during the translation process. The disclosed methods and systems also involve using one or more machine translation engines to obtain a translation of the normalized and/or tokenized source string.

Abstract: A method of enabling the selection of a language to be employed as a method input language by a disambiguation routine of a handheld electronic device having stored therein a plurality of method input languages and disambiguation routine number, includes detecting a selection of a language, detecting as an ambiguous input an actuation of one or more input members, outputting at least a plurality of the language objects that corresponds to the ambiguous input, outputting an indicator which one of the method input languages is currently employed by the disambiguation function, and enabling an alternate one of the input language methods to be selected in response to a selection of the indicator in lieu of one of the plurality of language objects.

Abstract: A content-providing entity receives a relatively short text from a user and attempts to determine, automatically, based on that short text (and on other available clues), a language that the user can read and understand. The content-providing entity may then provide, to the user, documents that are written in the determined language. The content-providing entity may determine a language of the input text based on several factors in combination: (a) the service provider's “market,” which is determined based on at least a portion of the URL of the Internet site to which the user directed his browser; (b) the user's “region,” which is determined based on the source Internet Protocol (IP) address of the IP packets that the user sends to the Internet site; (c) the “script” in which the short user-entered text is written; and (d) a statistical analysis of the frequency of the characters present in the short user-entered text.

Abstract: Disclosed are a joint decoding apparatus and a joint decoding method that joins a tokenization process and a translation process. More particularly, the present disclosure can generate all available candidate tokens, reduce translation errors, and obtain an optimal translation result by jointly conducting a decoding by simultaneously conducting the tokenization process and the translation process for an input character sequence while decoding.

Abstract: This invention is a method for “text morphing,” wherein text morphing involves integrating or blending together substantive content from two or more bodies of text into a single body of text based on locations of linguistic commonality among the two or more bodies of text. This method entails: identifying pairs of “Synonym-Different-Synonym” (SDS) text segments between an import body of text and an export body of text; and, for each selected pair of SDS text segments, substituting some or all of the SDS text segment from the export body of text for some or all of the SDS text segment in the import body of text. In some respects, this method is analogous to splicing and substituting gene segments with compatible starting and ending sequences, but different middle sequences. Text morphing as disclosed herein can be useful for creative ideation, product development, integrative search engines, and entertainment purposes.

Abstract: Methods, systems, and apparatus, including computer program products, in which an input method editor receives composition inputs and determines language context values based on the composition inputs. Candidate selections based on the language context values and the composition inputs are identified.

Abstract: A system and method for translating a social feed is disclosed. The system comprises a communication module, a decoding engine and a re-encoding engine. The communication module receives social feed data and a request from a social network application. The social feed data is configured to cause a client to display a social feed in a first language. The request includes data indicating that the social feed should be displayed in a second language. The decoding engine decodes the social feed data to generate decoded social feed data. The re-encoding engine re-encodes the decoded social feed data to cause the client to display the social feed in the second language based at least in part on the request. The communication module sends the translated social feed data to the client.

Abstract: The method and implementation provides a communication user terminal with adapting language translation for language identification and translation for multilingual multimedia communication without language barrier.

Abstract: A computerized system for sale of products having non pre-catalogued parameters in a multi-lingual environment wherein a buyer and a seller communicate in different languages, the system including a non pre-catalogued parameter database, a listing engine operative to prompt in a first language a listing seller to enter multiple non pre-catalogued parameters relating to a product being listed and to store the non pre-catalogued parameters in the non pre-catalogued parameter database and a non pre-catalogued multiple language parameter description engine which is operative to provide human-readable descriptions of the non pre-catalogued parameters in at least one language other than the first language.

Abstract: A method of operating a vehicle telematics unit includes determining the location of a vehicle equipped with a vehicle telematics unit; determining if telematics dialing software operated by the vehicle telematics unit includes a verbal dialing protocol used at the determined vehicle location; if not, identifying one or more verbal dialing protocols used at the determined location of the vehicle; requesting telematics dialing software that includes the one or more identified verbal dialing protocols; receiving the requested telematics dialing software from a central facility; and storing the received telematics dialing software at the vehicle.

Abstract: According to one embodiment, a document proofing support apparatus includes an input unit, an analysis unit, a detection unit, a database unit, a retrieval unit, and a display unit. The input unit is configured to receive input of one of at least one proof document and at least one entry document. The analysis unit is configured to perform a morphological, a syntactic and a dependency analysis and generate analysis information including a dependency relation. The detection unit is configured to detect as a possible coined word character string a compound word having a nominal continuation relation. The database unit is configured to store syntactic information. The retrieval unit is configured to retrieve a dependency-relation sentence, and to determine the possible coined word character string as a coined word if the dependency-relation sentence exists. The display unit is configured to display a message including the coined word.

Abstract: A method and associated apparatus for using visual separators to indicate additional character combination choices from a disambiguation function on a handheld electronic device.

Abstract: Disclosed is subject matter that provides a technique and a device that may include an accelerometer, a display device, an input device and a processor. The input device may receive textual information in a first language. The processor may be configured to generate a plurality of probable translation alternatives for a translation result. Each probable translation alternative may be a translation of the textual information into a second language. The processor may present a first of the plurality of probable translation alternatives on the display device in an alternate translation result dialog screen. Based on an accelerometer signal, the processor may determine whether the device is being shaken. In response to a determination the device is being shaken, the processor may present a second of the plurality of probable translation alternatives on the display device in place of the first of the plurality of probable translation alternatives.

Abstract: Generally speaking, systems, methods and media for selectively modifying an electronic document by restoring user-selected portions of translated electronic document text to their original language are disclosed. Embodiments of a method for selectively modifying an electronic document may include receiving a request from a user to view a user selection of text of an electronic document in an original language instead of a second translated language where the electronic document has substantially all of its text in the second translated language. Embodiments may also include analyzing the request to determine an expanded selection to be changed into original replacement language.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for translating digital content from a source language to a target language. A message is displayed to a user. The message contains digital content to be translated from the source language to the target language, as well as the context of the digital content in the source language and/or a reference to a context in which the digital content occurs. A proposed translation of the digital content into the target language is received from the user. The proposed translation is submitted to a translation server.

Abstract: A simultaneous interpretation system includes headsets for inputting and outputting voice, and a portable terminal for receiving an original language voice speech signal to be interpreted that is output from the first headset. The portable terminal outputs an interpreted voice speech signal based on the original language voice speech signal that has been interpreted into a different language to the second headset. The portable terminal either performs the interpretation or accesses an interpretation server to provide the second headset with the interpreted voice speech signal. Hence, the simultaneous interpretation is carried out using the short-range communication between the users by medium of the single portable terminal and thus more efficient and unrestricted conversation is realized.

Abstract: The present disclosure describes a teleconferencing system that may use a virtual participant processor to translate language content of the teleconference into each participant's spoken language without additional user inputs. The virtual participant processor may connect to the teleconference as do the other participants. The virtual participant processor may intercept all text or audio data that was previously exchanged between the participants may now be intercepted by the virtual participant processor. Upon obtaining a partial or complete language recognition result or making a language preference determination, the virtual participant processor may call a translation engine appropriate for each of the participants. The virtual participant processor may send the resulting translation to a teleconference management processor. The teleconference management processor may deliver the respective translated text or audio data to the appropriate participant.

Abstract: Training data in one language is leveraged to develop classifiers for multiple languages under circumstances where all of those classifiers will be performing the same kind of classification task, but relative to linguistically different sets of texts, thereby saving the cost of manually labeling a different set of training data for each language. Classification knowledge is learned for a source language in which training data are available. That knowledge is transferred to another target language's classifier through the integration of language transition knowledge. The transferred model is adjusted to better fit the target language.

Abstract: Systems, methods, and apparatuses including computer program products are provided for training machine learning systems. In some implementations, a method is provided. The method includes receiving a collection of phrases, normalizing a plurality of phrases of the collection of phrases, the normalizing being based at least in part on lexicographic normalizing rules, and generating a normalized phrase table including a plurality of key-value pairs, each key value pair includes a key corresponding to a normalized phrase and a value corresponding to one or more un-normalized phrases associated with the normalized key, each un-normalized phrase having one or more parameters.

Abstract: A language-neutral speech grammar extensible markup language (GRXML) document and a localized response document are used to build a localized GRXML document. The language-neutral GRXML document specifies an initial grammar rule element. The initial grammar rule element specifies a given response type identifier and a given action. The localized response document contains a given response entry that specifies the given response type identifier and a given response in a given language. The localized GRXML document specifies a new grammar rule element. The new grammar rule element specifies the given response in the given language and the given action. The localized GRXML document is installed in an interactive voice response (IVR) system. The localized GRXML document configures the IVR system to perform the given action when a user of the IVR system speaks the given response to the IVR system.

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: Systems and methods for facilitating communication including recognizing speech in a first language represented in a first audio signal; forming a first text representation of the speech; processing the first text representation to form data representing a second audio signal; and causing presentation of the second audio signal to a second user while responsive to an interrupt signal from a first user. In some embodiments, processing the first text representation includes translating the first text representation to a second text representation in a second language and processing the second text representation to form the data representing the second audio signal. In some embodiments include accepting an interrupt signal from the first user and interrupting the presentation of the second audio signal.

Abstract: An improved method of transliterating non-Latin input within an e-mail address field to the Latin equivalent. A routine in a handheld device is structured to detect a triggering event that indicates an e-mail address is being input into an e-mail address field. Following the triggering event, both prior and subsequent input is transliterated to Latin characters as these characters are required by Internet protocols. The transliteration routine may also be utilized to search an e-mail address book wherein names are recorded using both Latin and non-Latin characters.

Abstract: The display language of a site may be changed to another alternate language by users of a site at any time. For example, a first user may access the same site in its default language (i.e. English) and a second user may access the site using their preferred language (i.e. French) even though the default language of the site is different from their preferred language. The language of the site may be changed from one language to another language at any time a user is accessing the site. Application content changes are identified by the site helping to ensure consistency between the default language and the alternate languages.

Abstract: In one embodiment, the invention provides a method for a system to provide information based on a query, the method comprising: performing a first search of at least one first source for information responsive to the query; providing a result of the search to a user; searching documents using at least a part of the result of the search; providing the user with at least one example of usage of the result of the search obtained from the searching of stored documents; based on user input, performing a second search of at least one second source for information responsive to the query; and providing a result of said second search to the user. The invention provides ways of showing the most relevant examples from parallel text corpora according to a ranking.

Abstract: Computer methods, apparatus and articles of manufacture therefor, are disclosed for text-characterization using a finite state transducer that along each path accepts on a first side an n-gram of text-characterization (e.g., a language or a topic) and outputs on a second side a sequence of symbols identifying one or more text-characterizations from a set of text-characterizations. The finite state transducer is applied to input data. For each n-gram accepted by the finite state transducer, a frequency counter associated with the n-gram of the one or more text-characterizations in the set of text-characterizations is incremented. The input data is classified as one or more text-characterizations from the set of text-characterizations using the frequency counters associated therewith.

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 method and system for translating documents with the use of a multifunctional printer machine, including capturing an image of a document; determining regions of the document captured that include original text; performing optical character recognition of the regions of the document captured that include the original text; specifying a source language corresponding to the original text; specifying one or more target languages corresponding to translated text; performing language translation of the original text into translated text; selecting one or more page layout templates having multiple pre-designated areas for receiving the original text and the translated text; and outputting one or more printouts in accordance with the one or more page layout templates selected, including at least an area designating (i) the original text in the source language and (ii) the translated text in the one or more target languages.

Abstract: Speech given by a speaker in English is recognized. An upper half of a subtitle display area of a display used by a listener is used as a parallel area and a lower half thereof is used as an original area. In the parallel area, a parallel subtitle in which an original corresponding to a recognition result of the speech and a translation obtained by translating the original into Japanese are displayed in parallel is displayed. In this manner, the original and the translation are both displayed, and in addition, with respect to each word or phrase of the original, an expression obtained by translating the word or phrase is displayed as the translation, and hence, the listener can easily understand the translation and mistranslation can be easily found. Furthermore, in the original area, an original subtitle including an original not translated yet is displayed.

Abstract: A real-time open domain speech translation system for simultaneous translation of a spoken presentation that is a spoken monologue comprising one of a lecture, a speech, a presentation, a colloquium, and a seminar. The system includes an automatic speech recognition unit configured for accepting sound comprising the spoken presentation in a first language and for continuously creating word hypotheses, and a machine translation unit that receives the hypotheses, wherein the machine translation unit outputs a translation, into a second language, from the spoken presentation.

Abstract: Disclosed is an apparatus for providing an accurate automatic language translation service. A user terminal according to an exemplary embodiment of the present invention includes a display unit to display a translation option setting menu for a user with respect to a source sentence of which a category is designated and to be translated; a user input unit to receive, from the user, an input on setting of a translation option; a communication unit to transmit the translation option to a translation server, and to receive a translation result from the translation server; and a control unit to control operations of the display unit, the user input unit, and the communication unit. According to the present invention, a translation service for multilingual multimedia through a natural styled highly precise automatic translation is enabled.

Abstract: A method of forming words utilizing a character actuator unit in which the character actuators are segregated into certain categories. First and second categories are employed and activated simultaneously to generate the beginning and ending of a word. First and second actuating categories may be combined with third and fourth categories of actuators to further form and modify words in any languages.

Abstract: The present invention relates to the translation of a portion of text to be communicated in a text-based communication in a communications network. A communications device for composing the text-based communication queries a translation service with a portion of text in a first language to obtain a replacement for the portion in a second language. A user may trigger a replacement query by composing the portion using at least one trigger symbol monitored by the communications device. Replacement may be confirmed with the user and at least one alternative replacement sought in response to the confirmation. The communications network may comprise a wireless network and the communications device a wireless mobile communications device.

Abstract: A method, system and apparatus for locale and operating platform independent font selection. In an operating platform having an operating platform configuration and an associated locale, a locale and operating platform independent font selection method can include parsing a pre-established font properties file to identify whether a desired font referenced in the font properties file supports at least one of the operating platform configuration and the associated locale. Consequently, if it is indicated within the font properties file that the desired font supports either or both of the operating platform configuration and the associated locale, the desired font can be utilized in the operating platform.

Abstract: According to one embodiment, a speech synthesizer includes an analyzer, a first estimator, a selector, a generator, a second estimator, and a synthesizer. The analyzer analyzes text and extracts a linguistic feature. The first estimator selects a first prosody model adapted to the linguistic feature and estimates prosody information that maximizes a first likelihood representing probability of the selected first prosody model. The selector selects speech units that minimize a cost function determined in accordance with the prosody information. The generator generates a second prosody model that is a model of the prosody information of the speech units. The second estimator estimates prosody information that maximizes a third likelihood calculated on the basis of the first likelihood and a second likelihood representing probability of the second prosody model. The synthesizer generates synthetic speech by concatenating the speech units on the basis of the prosody information estimated by the second estimator.

Abstract: A method for local, computer-aided translation using remotely-generated translation predictions includes the step of determining that a translation stored in a remote translation memory is useful in translating a first portion of a local document. A local machine receives the translation. Prior to receiving a request form a translator for the translation, a determination is made that the remote translation memory stores an updated version of the translation. The updated version of the translation is identified as useful in translating a second portion of the document. The local machine generates a translation of the second portion of the document through reuse of the updated version of the translation, responsive to the identification of the utility of the updated version of the translation in translating the second portion of the document.

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: A system for directing media streams during a conference call, including an enterprise, at least one network provided within the enterprise and in communication with a plurality of communication devices, a platform provided within the enterprise and in communication with the network, the platform comprising a protocol layer, a services layer and an application layer, and a conference call server in communication with the platform, wherein the platform is configured for receiving media streams from each of the communication devices and instructing the conference call server on how to direct the media streams to and from each of the communication devices.

Abstract: A method and system for facilitating the rendering of content by a web service in a local language associated with the user device. The system includes a server configured to receive, from the web service, a request including a locale identifier and user-inputted content received from the user device. The server identifies one or more language parameters based on the locale identifier. In an embodiment, the system provides the language parameters and a content presentation engine to the web service for dynamically rendering the user-inputted content to the user device according to the one or more language parameters. In another embodiment, the server caches a content presentation engine and the language parameters to the user device for rendering content generated by the web service.

Abstract: Various embodiments of the present invention provide systems and methods for providing a translation for a set of one or more terms or phrases related to a software application using decentralized contributions. In particular, various embodiments provide systems and methods by which multiple users of the application contribute translations for individual terms or phrases of the application instead of having one entity supply the translation of the software application. Specifically, the process of various embodiments: (1) provides a repository for storing translations of the individual terms or phrases in a target language (e.g., a language for which a translation is needed); (2) collects the translations provided by users and stores the translations in the repository; (3) identifies the preferred translation for each individual term or phrase; and (4) displays the preferred translation to the user in response to receiving a user's request for a preferred translation in the target language.

Abstract: An embodiment provides (a) a method and system for representing natural languages in a common machine-readable form, including the thorough design of the lexicon and grammar, the resulting representation called interlingua, (b) a method and system for using a computer to convert a text of a natural language into and out of a coded text of said interlingua representation, including a programming framework which is independent of other languages, said system is called interlingua engine, and (c) a method and system of machine translation using said interlingua engine, said system called interlingua machine translation system. Alternative embodiments are described.