Abstract: Techniques are provided which may be implemented using various methods and/or apparatuses to allow a mobile station to request and receive translation information associated with a location (e.g., a region, a point of interest, etc.). The translation information may be based, at least in part, on historical information associated with at least one other request associated with the location and previously obtained from at least one other mobile station.

Abstract: Contextual, focus-based language translation within a broadcast radio automation software application allows the user interface to enable interaction with users having various written or graphical language requirements. The software does not require special training or learning to enable the translation of text within the application. When the user enters a translation mode and selects a text string in the original language, the program displays a corresponding text string in a second language based on the specific display area, e.g., child window. The translated text string can be displayed proximate to original first text string within the specific display area, and can further be displayed as an entry in a table of a translation window which also displays additional text strings in the second language corresponding to additional text string fields for the specific display area.

Abstract: An improved mobile electronic device and associated method enable the identification of previously-entered textual objects in one or more custom wordlists to identify possible transliterations of textual inputs. Such textual objects can be stored as data in a Pinyin custom wordlist if it is in the nature of Standard Mandarin characters or it can be stored in a BoPoMoFo custom wordlist if it is in the nature of Traditional Chinese characters, or it can be stored in both if it is in the nature of both Standard Mandarin characters and Traditional Chinese characters.

Abstract: An information processing apparatus having an operating system installed thereon is provided with a help file manager. The help file manager obtains language type information indicating a language type currently set for the operating system, obtains one of a plurality of help files that corresponds to the obtained language type information from a resource file, and expands the obtained help file into an expanded help file to store the expanded help file at the information processing apparatus. The information processing apparatus displays a help window generated based on the expanded help file that is stored.

Abstract: Techniques for providing a translation environment interface to a user are disclosed herein. The techniques include receiving a message template to be translated, the message template including a text portion and one or more template placeholders, parsing the message template to identify the text portion and the template placeholders, generating non-editable objects corresponding to the template placeholders and generating a display message template by replacing each of the one or more template placeholders with its corresponding non-editable object in the message template, the display message template including the text portion to be translated. The techniques further include providing the display message template to a user device and receiving a translated display message template from the user device, the translated message including a translated text portion and the one or more non-editable objects.

Abstract: A translation between a source language and a target language is disclosed. The source language items are divided, with primary and secondary source language items or named entities being identified, where the primary and secondary source languages being different from each other and from the target language. The entities in the second source language are translated in a different way. For example, they may be copied into the target language, or translated in a special way that is based on their meaning, e.g, into a term that has a more descriptive meaning in the target language.

Abstract: Methods and apparatus, including computer program products, related to entity name translation. In general, a set of data records including one or more names of one or more entities in a source language is received and candidate translations are generated for the names of the data records. The candidate translations are strings of characters in a target language that has a different orthography than an orthography of the source language. A data repository is queried for records matching the candidate translations. A translation of at least one of the candidate translations is selected based on a comparison of a combination of candidate translations and properties of the source record comprising of the publication date, entity name co-occurrence and their frequency with the result of the querying the data repository.

Abstract: A method for displaying a combination of languages for digital content in an electronic device is described. First digital content comprising a plurality of words in a primary language is received. Second digital content comprising a plurality of words in a secondary language is received. A combination of the primary language and the secondary language is determined. The combination of the primary language and the secondary language is displayed.

Abstract: A method and system of generating personalized annotated text of a core-text, the method and system directed for acquiring a personal data comprising data indicative of the reader's proficiency level for understanding text; and providing at least a gloss to accompany the requested text based on core-text and the reader's proficiency level.

Abstract: Systems for translating text messages in an instant messaging system comprise a translation engine for translating text messages into a preferred language of a recipient of the text messages. The systems are preferably configured to send and receive the text messages and to determine whether the text messages that are received in a source language are in the preferred language of the recipients so that the text messages are displayed in the preferred language of the recipients of the text messages. Other systems and methods are also provided.

Abstract: Methods, systems, and apparatus, including computer program products, for ranking the output suggestions of a transliteration process. In one aspect, a method includes receiving a plurality of transliteration training pairs comprising a source word in a first writing system and a target word in a second writing system. A plurality of 1-to-N transliteration rules is received. Blocks are generated for each source word character comprising the source word character and a string characters preceding and following the source word character. Generated blocks are associated with the right-hand-side of respective 1-to-N transliteration rules to create a plurality of block rules. Block rules are used to generate a possibly-partial transliteration of a source word. A score is assigned based on an edit distance between the source word and each of one or more respective transliteration output suggestions.

Abstract: Customers having a translation project to select a translation method from a variety of options, ranging from a completely human translation to a completely automated translation. For human translations, translation job information may be communicated through one or more network service modules which execute within a network service application, such as a web-based networking application. A network service module may register a user having an account with the network service application as a translator and communicate translation jobs to the user. One or more users who express interest in performing the translation are selected to perform a translation job, each job comprising at least a portion of the translation project. After a user provides a translation for the translation job, the translation is analyzed to generate a trust level prediction for the translation. A user translation profile may be updated after each translation to reflect the user's performance.

Abstract: A storage unit stores first filter information specifying the formats of messages and second filter information specifying weights for words or phrases. A first search unit selects messages matching the formats specified by the first filter information from a plurality of messages as messages to be extracted. A second search unit calculates the importance level of each message unselected by the first search unit, based on the words or phrases included in the message and the second filter information, and selects messages to be extracted, according to the calculated importance levels from the messages unselected by the first search unit.

Abstract: An account system obtains a first translation file associated with it. The account system obtains a second translation file from a second account system, wherein the second account system is a data processing system. The account system determines whether a third account system has a third translation file with untranslated terms. The account system obtains the third translation file from the third account system, responding to a determination that the third account system has the third translation file with untranslated terms. The account system, responding to a determination that the third account system has the third translation file with untranslated terms, forms a comprehensive file from at least two files selected from the group consisting of the first translation file, second and/or third translation files. The account system translates the comprehensive file to form a translated file.

Abstract: A method and apparatus for identifying a set of bilingual term pairs, and from the set of bilingual term pairs, identifying a set of candidate patterns related to the layout of the bilingual term pairs in the bilingual webpage is provided. From the set of candidate patterns, one or more best patterns can be selected based on features identified in the candidate patterns. Using the one or more selected patterns, a set of translation pair candidates can be extracted. The translation pair candidates can be verified to determine the likelihood that each translation pair candidate is an accurate translation. Based on the verification, some or all of the translation pair candidates can be discarded as incorrect translations, and the remaining translation pair candidates can be identified as correct translation pairs.

Abstract: A system with a nonstatistical translation component integrated with a statistical translation component engine. The same corpus may be used for training the statistical engine and also for determining when to use the statistical engine and when to use the translation component. This training may use probabilistic techniques. Both the statistical engine and the translation components may be capable of translating the same information, however the system determines which component to use based on the training. Retraining can be carried out to add additional components, or when after additional translator training.

Abstract: A question-answering system for searching exact answers in text documents provided in the electronic or digital form to questions formulated by user in the natural language is based on automatic semantic labeling of text documents and user questions. The system performs semantic labeling with the help of markers in terms of basic knowledge types, their components and attributes, in terms of question types from the predefined classifier for target words, and in terms of components of possible answers. A matching procedure makes use of mentioned types of semantic labels to determine exact answers to questions and present them to the user in the form of fragments of sentences or a newly synthesized phrase in the natural language. Users can independently add new types of questions to the system classifier and develop required linguistic patterns for the system linguistic knowledge base.

Abstract: Creating and processing a natural language grammar set of data based on an input text string are disclosed. The method may include tagging the input text string, and examining, via a processor, the input text string for at least one first set of substitutions based on content of the input text string. The method may also include determining whether the input text string is a substring of a previously tagged input text string by comparing the input text string to a previously tagged input text string, such that the substring determination operation determines whether the input text string is wholly included in the previously tagged input text string.

Abstract: An unsupervised boosting strategy is applied to refining automatic word alignment. In some examples, the strategy improves the quality of automatic word alignment, for example for resource poor language pairs, thus improving Statistical Machine Translation (SMT) performance.

Abstract: A technical term dictionary stores terms of a first language and each translated term of a second language. A translation memory stores source sentences of the first language and each target sentence of the second language. A translation unit translates a text of the first language into an output text of the second language by the technical term dictionary and the translation memory. A corresponding translation pair extraction unit extracts, from a source sentence matched with a sentence of the text and a target sentence corresponding to the source sentence stored in the translation memory, a corresponding translation pair comprising a word in the source sentence and a translated word corresponding to the word in the target sentence. An unmatch check unit checks whether the translated word does not match with a translated term corresponding to the word in the output text.

Abstract: A system and method for transliteration between two different character-based languages is provided. In some embodiments, the system and method provide transliteration from the Arabic language into Roman-based languages such as English. In some embodiments this system and method allows a user to more easily produce Arabic text on English or Roman-based computer hardware and software.

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 email address book wherein names are recorded using both Latin and non-Latin characters.

Abstract: A computer-assisted language generation system including sentence retrieval functionality, operative on the basis of an input text containing words, to retrieve from an internet corpus a plurality of sentences containing words which correspond to the words in the input text and sentence generation functionality operative using a plurality of sentences retrieved by the sentence retrieval functionality from the internet corpus to generate at least one correct sentence giving expression to the input text.

Abstract: A foreign language writing service method includes: recognizing, when a mixed text of foreign language portions and mother tongue portions is entered by a learner, the mother tongue portions from the mixed text; translating the mother tongue portions; combining a mother tongue translation result with the foreign language portions of the mixed text to generate a combined text; and providing the learner with the combined text of the mother tongue translation result and the foreign language portions of the mixed text.

Abstract: A unified-evaluated-value computing unit quantitatively combines a translation probability between words computed by a corpus-based statistical-value computing unit, dictionary information computed by a dictionary-information referring unit, and syntactic structure information computed by a syntactic-structure-value computing unit, to compute a unified evaluated-value as an index for phrase alignment.

Abstract: Determining a mapping between a textual representation in a document and a concept is disclosed. A document is received. A set of candidate textual representations in the document is identified. For at least one candidate textual representation included in the set, an associated concept included in a taxonomy of concepts is determined. The candidate textual representation and the associated concept are provided as output.

Abstract: A network clearinghouse may be provided that brings together organizations (subjects) requiring outsourcing of a service and service providers (operators). The clearinghouse manages the bidding and awarding of contracts, by collecting and authorizing requests for proposals (RFPs), sending bid invitations to operators that meet the requirements of the subject, sending a notification that the contract has been awarded, and collecting payment from the subject and paying the operator.

Abstract: The claimed subject matter provides a system and/or a method that facilitates communication within a telepresence session. A telepresence session can be initiated within a communication framework that includes two or more virtually represented users that communicate therein. The telepresence session can include at least one virtually represented user that communicates in a first language, the communication is at least one of a portion of audio, a portion of video, a portion of graphic, a gesture, or a portion of text. An interpreter component can evaluate the communication to translate an identified first language into a second language within the telepresence session, the translation is automatically provided to at least one virtually represented user within the telepresence.

Abstract: Systems and methods are disclosed for searching across multi-lingual information. A user makes a query in a first language, and a group of documents that were previously machine-translated into the first language are searched for information responsive to the query. Contextual information derived can be used to improve the accuracy of the machine translation. Responsive documents are returned to the user. Alternatively, a query provided in a user's language may be translated into one or more other languages. Documents written in these languages can then be searched for information responsive to the appropriate translated query. Responsive documents can be translated into the user's language prior to providing them to the user.

Abstract: A method for enabling input into a handheld electronic device having at least three selectable languages available thereon includes detecting a predetermined input a number of times and switching a selected language between one of the three selectable languages and another of the three selectable languages wherein the another language is an immediately preceding selected language.

Abstract: The present disclosure provides method and system for converting a free text expression of an identity to a phonetic equivalent code. The conversion follows a set of rules based on phonetic groupings and compresses the expression to a shorter series of characters than the expression. The phonetic equivalent code may be compared to one or more other phonetic equivalent code to establish a correlation between the codes. The phonetic equivalent code of the free text expression may be associated with the code of a known identity. The known identity may be provided to a user for confirmation of the identity. Further, a plurality of expressions stored in a database may be consolidated by converting the expressions to phonetic equivalent codes, comparing the codes to find correlations, and if appropriate reducing the number of expressions or mapping the expressions to a fewer number of expressions.

Abstract: A system and method for speech translation includes a bridge module connected between a first component and a second component. The bridge module includes a transformation model configured to receive an original hypothesis output from a first component. The transformation model has one or more transformation features configured to transform the original hypothesis into a new hypothesis that is more easily translated by the second component.

Abstract: Systems, methods, and other embodiments associated with row level security for a database table are described. One example method includes detecting an access statement seeking access to a row in a database table for which row level security is active. The method includes adding a predicate to the access statement. The predicate is based on an access control expression associated with the row. The access control expression depends on an instance of an expression data type associated with the row. The method includes populating an attribute of the predicate, and controlling access to the row based on a computed value for the predicate.

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: 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 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: A statistical machine translation (MT) system may include a noun phrase/prepositional phrase (NP/PP) translation subsystem to translation NP/PPs as a subtask in an MT operation. The NP/PP translation subsystem may use a model trained on an NP/PP corpus and a decoder to generate an n-best list of candidate translations and a re-ranker to re-rank the candidate translations based on a machine learning method and additional features based on known properties of NP/PPs.

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: 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: A method and apparatus for continuously improving the performance of semantic classifiers in the scope of spoken dialog systems are disclosed. Rule-based or statistical classifiers are replaced with better performing rule-based or statistical classifiers and/or certain parameters of existing classifiers are modified. The replacement classifiers or new parameters are trained and tested on a collection of transcriptions and annotations of utterances which are generated manually or in a partially automated fashion. Automated quality assurance leads to more accurate training and testing data, higher classification performance, and feedback into the design of the spoken dialog system by suggesting changes to improve system behavior.

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: Methods and systems for fast translation memory search include, in response to an input query string, identifying a plurality of hypothesis strings stored in a translation memory as candidates to match the query string. One or more candidates are eliminated, using a processor, where string lengths between the candidates and the query string are at least a cutoff value representing a string edit distance. One or more candidates are eliminated where differences in word frequency distributions between the candidates and the query string are at least the cutoff value. One or more candidates are eliminated by employing a dynamic programming matrix where string edit distances between the candidates and the query string are at least the cutoff value. A number of remaining candidates are outputted as matches to the query string.

Abstract: An image editing apparatus edits on an image editing screen a printing image to be printed on a printing medium. The printing image is arranged by a plurality of translated terms of at least one term represented by a plurality of languages. The apparatus stores therein plural sets of the plurality of translated terms, selects one set of the translated terms out of the plural sets of the translated terms, displays on the image editing screen the selected one set of the translated terms as a printing block, where addition and deletion of a letter are prohibited, on a translated term-by-translated term basis, and designates an editing input position of the printing block on the image editing screen.

Abstract: Systems and methods are provided for automated semantic role labeling for languages having complex morphology. In one aspect, a method for processing natural language text includes receiving as input a natural language text sentence comprising a sequence of white-space delimited words including inflicted words that are formed of morphemes including a stem and one or more affixes, identifying a target verb as a stem of an inflicted word in the text sentence, grouping morphemes from one or more inflicted words with the same syntactic role into constituents, and predicting a semantic role of a constituent for the target verb.

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: A display section displays an obtained character-string written in a first language. A translation unit extraction section divides the obtained character-string into predetermined translation units, and extracts a character-string for each translation unit. A translation unit translates the extracted character-strings in the translation units into a second language. A display control section displays, on the display section, the result of translation by the translation section from the head of the character-string being displayed, in a state of being associated with the character-string.

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: For facilitating subsequent translation of words in a target polysynthetic language (e.g. Cherokee) to or from a user language (e.g. English), a method of generating a language parsing reference database, assisted by a computer having a processor, including the steps of organizing the parsing reference database to include polysynthetic word parts WHO is doing an action, WHAT action is being done, HOW an action is happening and WHEN an action is happening. In one embodiment an internet website hosted on a computer server is established, the website being accessible to users via the internet. The computer server runs or executes server side software referencing the parsing reference database, and is operable to translate a word in the target polysynthetic language to the user language, or to construct a word in the target polysynthetic language from a sentence in a user language.

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 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.