ABBYY INFOPOISK LLC Patent applications |
Patent application number | Title | Published |
20150187353 | AUDIO TAGGING - Various embodiments are provided for enabling audio tagging of image files. The audio messages are obtained by the system, usually by recording an audio message from a user, and then converted into a textual tag, using speech recognition technology. In some implementations semantic analysis of text component of these massages is performed. In some implementations the textual tags are then propagated to other image files associated with the user. | 07-02-2015 |
20150186420 | TAGGING OF IMAGES BASED ON SOCIAL NETWORK TAGS OR COMMENTS - Various embodiments are provided for enabling tagging of image files based on tagging or commenting on images on a social networking site. The tagging or commenting on an image on the social networking site is detected by the system. The social network tag or comment is analyzed to determine a textual tag to be assigned to image files corresponding to the social network images that have been tagged or commented on. In some implementations semantic analysis of text component of the social network tags or comments is performed. In some implementations the textual tags are then propagated to other image files associated with the user. | 07-02-2015 |
20140351178 | ITERATIVE WORD LIST EXPANSION - Methods and systems are provided for expanding an electronic word list, containing a set of words where each word is associated with a label from a first set of labels. A subset of training data containing a set of texts having a second set of labels is obtained. For each word in the electronic word list and a label in the sub-set of the training data, a feature selection criterion is calculated. One or more words are selected, for which resulting value of the feature selection criterion calculation is greater than a predetermined threshold value. The one or more selected words are added to the electronic word list. | 11-27-2014 |
20140129212 | Universal Difference Measure - Described herein are methods for finding substantially similar/different sources (files and documents), and estimating similarity or difference between given sources. Similarity and difference may be found across a variety of formats. Sources may be in one or more languages such that similarity and difference may be found across any number and types of languages. A variety of characteristics may be used to arrive at an overall measure of similarity or difference including determining or identifying syntactic roles, semantic roles and semantic classes in reference to sources. | 05-08-2014 |
20140114649 | METHOD AND SYSTEM FOR SEMANTIC SEARCHING - A method and system for facilitating a semantic search based on one or more corpuses of natural language texts are provided. One or more corpuses of natural language texts are received including indexed linguistic parameters and semantic structures of lexical units. The linguistic parameters and semantic structures are generated during a preliminary syntactico-semantic analysis. Searching for text fragments satisfying a query in the one or more corpuses is performed. Relevance of the search results is estimated. | 04-24-2014 |
20140101171 | Similar Document Search - Described herein are methods for finding substantially similar/different sources (files and documents), and estimating similarity or difference between given sources. Similarity and difference may be found across a variety of formats. Sources may be in one or more languages such that similarity and difference may be found across any number and types of languages. A variety of characteristics may be used to arrive at an overall measure of similarity or difference including determining or identifying syntactic roles, semantic roles and semantic classes in reference to sources. | 04-10-2014 |
20140019124 | USING INFORMATION BANNERS TO COMMUNICATE WITH USERS OF ELECTRONIC DICTIONARIES - In one embodiment, computer-implemented systems and methods related to electronic dictionary systems are provided including: storing statistical information representing user interactions with the dictionary system over a period of time and electronically analyzing the statistical information so as to determine a customized message to a user. The customized message may be provided for display as part of a user interface comprising at least one field for entering a dictionary query, at least one field for providing dictionary results, and at least one field for customized user messages. | 01-16-2014 |
20130211819 | Displaying examples from texts in dictionaries - 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. | 08-15-2013 |
20130211816 | Deep Model Statistics Method for Machine Translation - In one embodiment, the invention provides a method for machine translation of a source document in an input language to a target document in an output language, comprising generating translation options corresponding to at least portions of each sentence in the input language; and selecting a translation option for the sentence based on statistics associated with the translation options. | 08-15-2013 |
20130041652 | CROSS-LANGUAGE TEXT CLUSTERING - Methods are described for performing clustering or classification of texts of different languages. Language-independent semantic structures (LISS) are constructed before clustering is performed. These structures reflect lexical, morphological, syntactic, and semantic properties of texts. The methods suggested are able to perform cross-language text clustering which is based on the meaning derived from texts. The methods are applicable to genre classification, topic detection, news analysis, authorship analysis, internet searches, and creating corpora for other tasks, etc. | 02-14-2013 |