270 results about "Cross lingual" patented technology

A speech translation system and methods for cross-lingual communication that enable users to improve and modify content and usage of the system and easily abort or reset translation. The system includes a speech recognition module configured for accepting an utterance, a machine translation module, an interface configured to communicate the utterance and proposed translation, a correction module and an abort action unit that removes any hypotheses or partial hypotheses and terminates translation. The system also includes modules for storing favorites, changing language mode, automatically identifying language, providing language drills, viewing third party information relevant to conversation, among other things.

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

Methods and systems for transparent user interface integration between remote (“published”) applications and their local counterparts are described, providing a seamless, unified user experience, and allowing integration of a start menu, dock, taskbar, desktop shortcuts, windows, window and application switching, system tray elements, client-to-host and host-to-client file type association, URL redirection, browser cookie redirection, token redirection, status message interception and redirection, and other elements. These methods and systems further enhance theme-integration between a client and remote desktop or virtual machine by remoting all UI elements to a recipient for generation, including text controls, buttons, progress bars, radio buttons, list boxes, or other elements; presenting them with the receiver's product and OS-specific UI; and returning status back to the sender. This may achieve a more unified and transparent UI integration. Furthermore, international text may be correctly received in cross-language environments, or translated into the language of the presenting environment.

The present invention provides a method and system for identifying, retrieving and presenting electronic documents responsive to user queries. The three distinct inventive concepts are relevancy ranking of responsive documents based on component query technique; cross-lingual searching; and search expansion using analytics of initial results to derive and generate a modified query. Each of these inventions enhances document search and retrieval systems and the three solutions may be used separately or in any combination. The three inventions apply in layers above an underlying search system, controlling the submission of requests to the underlying system in support of received search requests, typically originating with an end user. Invention (I) involves use of focus-spectrum expanded search queries and either of two general types of enhanced OR operator that may be offered by the underlying search system. Processing of the content domain informs automated generation of elaborated queries using these operators for submitting to such an underlying system so as to yield improved relevance ranking

The present invention provides a method and system for identifying, retrieving and presenting electronic documents responsive to user queries. The three distinct inventive concepts are relevancy ranking of responsive documents based on component query technique; cross-lingual searching; and search expansion using analytics of initial results to derive and generate a modified query. Each of these inventions enhances document search and retrieval systems and the three solutions may be used separately or in any combination. The three inventions apply in layers above an underlying search system, controlling the submission of requests to the underlying system in support of received search requests, typically originating with an end user.

Invention (I) involves use of either of two general types of enhanced OR operator that may be offered by the underlying search system. Processing of the content domain informs automated generation of elaborated queries using these operators for submitting to such an underlying system so as to yield improved relevance ranking.

Invention (II) introduces a cross-lingual search-term suggestion capability driven by the structured data being searched, requiring no dictionaries or thesauri and no rule-based or statistical language modeling.

Invention (III) introduces a semantic-expansion capability specifically utilizing the availability of language independent fields in the data being searched with natural language query terms. This invention is enhanced by incorporating the preceding two inventions.

The invention relates to a Tibetan language entity knowledge information extraction method, which comprises the following steps that: Tibetan and Chinese comparable language material information is extracted from Tibetan and Chinese text language material information; entity equivalence pairs are extracted from the Tibetan and Chinese comparable language material information; the Tibetan and Chinese cross-language entity relationship is extracted from the entity equivalence pairs; a Tibetan language "entity-attribute-value" triad is extracted from the Tibetan and Chinese cross-language entity relationship; and the triad is stored into a Tibetan language entity knowledge semantic resource library. The Tibetan language entity knowledge information extraction method solves the problem of Tibetan language training language material deficiency to a certain degree, promotes the knowledge sharing among different languages, and provides support for the study in the fields of Tibetan and Chinese cross-language knowledge questions, information retrieval, machine translation and the like.

The invention relates to a programming language capable of cross-language reusing, and discloses a method for programming and developing software application programs by using a group of certain brief term and syntax rule with natural language semanteme. Through the description of multiple programming language families and the display method of the same thought realizing parts in multiple language development of certain software with an abstract special function, the cross-platform, cross-compiling, convertible and embeddable unified development is realized. Through the compiling tool disclosed by the invention, the same set of codes programmed by the language can be compiled into the applications with different states under different platforms; and the platform characteristics are realized by corresponding compiling tools. Through the converting tool disclosed by the tool, the codes programmed by the language can be converted into other languages as C++, Java, C#, Pascal and Obj-C, and can also be converted into the codes directly executed by the ARM embedded chip. Through the standard developing library disclosed by the invention, the language can be directly embedded into other languages for mixed programming. Through the IDE and the simulator disclosed by the invention, the cross-platform debugging and simulation can be realized.

The invention belongs to the technical field of multimedia information processing, specifically relating to a Chinese-English unknown words translating method blending Web excavation, multi-feature and supervised learning. The method provided by the invention comprises four steps as follows: pre-processing and estimating parameters; acquiring translation candidates based on Web; representing the translation candidates based on multi-feature; ordering and estimating translation results. In the invention, a method for acquiring corpora through Web excavation, representing the translation candidates with multi-feature, and ordering the translation candidates through supervised learning. Compared with the traditional method, the method provided by the invention has the advantages of simple corpora acquiring method and pre-processing, overall features for representing the translation candidates, and high accuracy for translation results. Unknown words translation is one of important and difficult points for text processing; the effective Chinese-English unknown words translating method is provided by the invention, so that the method has the important application value in machine translation and cross-language information retrieval fields.

A system and method for a highly interactive style of speech-to-speech translation is provided. The interactive procedures enable a user to recognize, and if necessary correct, errors in both speech recognition and translation, thus providing robust translation output than would otherwise be possible. The interactive techniques for monitoring and correcting word ambiguity errors during automatic translation, search, or other natural language processing tasks depend upon the correlation of Meaning Cues and their alignment with, or mapping into, the word senses of third party lexical resources, such as those of a machine translation or search lexicon. This correlation and mapping can be carried out through the creation and use of a database of Meaning Cues, i.e., SELECT. Embodiments described above permit the intelligent building and application of this database, which can be viewed as an interlingua, or language-neutral set of meaning symbols, applicable for many purposes. Innovative techniques for interactive correction of server-based speech recognition are also described.

Multi-lingual search and retrieval of digital content. Embodiments are generally directed to methods and systems for creating an English language database that associates non-English terms with English terms in multiple categories of metadata. Language experts use an interface to create equivalencies between non-English terms and English terms, Boolean expressions, synonyms, and other forms of search terms. Language dictionaries and other sources also create equivalencies. The database is used to evaluate non-English search terms submitted by a user, and to determine English search terms that can be used to perform a search for content. The multiple categories of metadata may comprise structured data, such as keywords of a structured vocabulary, and/or unstructured data, such as captions, titles, descriptions, etc. Weighting and/or prioritization can be applied to the search terms, to the process of searching the multiple categories, and/or to the search results, to rank the search results.

The invention relates to a method and system for detecting memory leak facing Xen virtualization environment during operation. The method for memory leak under Xen virtualization calculating environment during operation is provided. The method mainly includes: (1) performing dynamic analysis on memory usage action of a monitored program, grouping memory objects, and maintaining and updating related information on the memory objects; (2) detecting potential memory leak based on objected behavior characteristics; (3) and performing memory leak judgment according to related rules. Compared with the prior art, the method and system can detect the memory leak during operation in cross-operating system platform and cross-language development environment mode, is wide in application range, has good performance, can improve quality and development efficiency of a software development industry especially software products with limited memory, shortens period of software development, saves development cost directly, and can bring good economic benefit and social benefit.

The invention relates to a dynamic construction method and system for a cross-language protocol test request. The method comprises the following steps of 1, configuring remote service information andremote method information of remote services to form a configuration file; 2, according to the configuration file, dynamically generating and displaying a list of remote methods which can be called toa user; 3, according to the remote services and the remote methods selected from the list by the user, determining the remote services based on the configuration file, analyzing parameter informationfrom an interface file, and according to the parameter information, dynamically generating and displaying a parameter list to the user; 4, according to required parameters selected from the parameterlist by the user, dynamically generating and displaying a parameter input interface to the user, and inputting contents of the required parameters in the parameter input interface by the user; 5, according to the specific contents of the required parameters input by the user, forming the cross-language protocol test request, calling the remote methods through the cross-language protocol test request; and 6, structuring a received executive result and displaying the result to the user.

The invention relates to a Chinese-Vietnamese news event time sequence relation recognition method based on a bidirectional cross attention mechanism, and belongs to the technical field of natural language processing. According to the invention, sentence semantic information is captured by using a bidirectional recurrent neural network; triggering word semantic information in the event semantic information is enhanced through an attention mechanism; time sequence logic semantic information is obtained through the cross attention mechanism, the three parts of semantic information are embedded into event codes, finally, the event codes and inter-event rule features are fused and input into a classification layer, an event time sequence relation is output, and then event time sequence relation recognition is achieved. At present, event time sequence relation recognition needs a large amount of manpower to design a template based on a time axis, implicit semantic information in sentences is difficult to obtain, different language texts are difficult to be represented in the same feature space, and the problem that cross-language news event time sequence relation obtaining is difficultis solved.

A speech translation system and methods for cross-lingual communication that enable users to improve and customize content and usage of the system and easily. The methods include, in response to receiving an utterance including a first term associated with a field, translating the utterance into a second language. In response to receiving an indication to add the first term associated with the field to a first recognition lexicon, adding the first term associated with the field and the determined translation to a first machine translation module and to a shared database for a community associated with the field of the first term associated with the field, wherein the first term associated with the field added to the shared database is accessible by the community.

The embodiment of the invention provides a cross-language medical knowledge graph construction method and a device and electronic equipment, and the method comprises the steps: obtaining a cross-language concept knowledge graph through the fusion of concepts and relations in a generated cross-language and heterogeneous data set based on the medical standards of different languages; extracting andfusing entities, events and relationships of electronic medical records in different languages from hospitals, open data sets and social data sets to obtain a cross-language instance knowledge graph;and combining the cross-language concept knowledge graph with the cross-language instance knowledge graph to form a cross-language fact knowledge graph. According to the method of the invention, medical standards and instance electronic medical records of multiple different languages are respectively analyzed and subjected to information extraction, and knowledge maps formed by different languagesin a knowledge base can be fused more accurately, so that a more accurate and reliable medical knowledge map is obtained.

The invention provides a question and answer processing method and device, electronic equipment and a computer readable storage medium. The invention relates to a natural language processing technology of artificial intelligence. The method comprises the steps of performing cross-language-based encoding processing on a question statement to obtain a plurality of semantic vectors fused with language information; based on any semantic vector in the plurality of semantic vectors, performing recall processing based on semantic similarity on the to-be-recalled question statements in different languages to obtain a plurality of first question statements corresponding to the semantic vectors; performing text similarity-based recall processing on the to-be-recalled question statements based on thequestion statement to obtain a plurality of second question statements corresponding to the question statement; carrying out text matching processing on the question statement, a plurality of first question statements and a plurality of second question statements to obtain a matched target question statement; and taking the answer statement corresponding to the target question statement as an answer statement for responding to the question statement. According to the invention, the accuracy of intelligent questioning and answering can be improved.

The invention discloses a Chinese-English cross-language vocabulary representation learning method and system based on paraphrasing primitive words, which represents the vocabulary of Chinese and English languages in vector form in the same vector space, and obtains more accurate word embedding combined with semantic information. Firstly, the set of paraphrasing primitives is obtained by processing the paraphrasing relations in Chinese dictionaries, so that the words in the set of paraphrasing primitives can cover all the lexical semantics in dictionaries. Secondly, all the words in Chinese dictionaries and English dictionaries are represented by the vectorized expressions of the paraphrasing primitives. The vectorized expressions of the paraphrasing primitives are used to express all thewords in the dictionaries. Finally, combining with the context and semantic relationship of Chinese and English corpus, we set certain weights on the expression of paraphrase primitives in vocabularyto obtain more accurate semantic relational word embedding. Compared with the existing word embedding, the invention has the advantages of high word embedding accuracy, strong expansion ability, convenient realization and the like, and can better serve the subsequent natural language processing tasks.

The invention discloses an Indonesian-Chinese cross-linguistic retrieval method and system capable of integrating an association pattern with user feedback. The method comprises the following steps: utilizing a machine translation module to translate an Indonesian user query into a Chinese query, and submitting the Chinese query to a search engine module to carry out retrieval to obtain an initial retrieval result document set; utilizing the relevant feedback information extraction module of a user clicking behavior to obtain a user feedback initial retrieval related document set; carrying out preprocessing through a document preprocessing module to obtain an initial retrieval related document database; calling an all-weighted association rule mining module to construct an all-weighted association rule base; utilizing a cross-linguistic query expansion word generation module to establish an expansion word bank; utilizing a cross-linguistic query expansion implementation module to submit a new combined query to the search engine module to obtain a final retrieval result Chinese document; and utilizing a final result display module to submit a final retrieval result to the machine translation module, translating the final retrieval result into an Indonesian document, and returning the Indonesian document to the user. By use of the method and the system, cross-linguistic retrieval performance can be effectively enhanced and improved, and the method and the system have a good practical application value and popularization prospect.

The invention provides a multi-language text detection and error correction method and system, electronic equipment and a storage medium, and the method comprises the steps: obtaining a to-be-detected text, and carrying out the multi-language character recognition of the to-be-detected text to obtain at least one to-be-recognized statement; performing language detection on characters of a target language in the to-be-recognized statement to obtain words of a to-be-detected language, and performing spelling detection and semantic detection on the words of the to-be-detected language; and if at least one word in the to-be-detected language has a spelling error and/or a semantic error, performing corresponding spelling error correction and/or semantic error correction on the word with the spelling error and/or the semantic error. According to the method, text semantics in a cross-language context can be better understood, characters of all target languages in a text are detected, and only words detected to be wrong are corrected.