201 results about "Word selection" patented technology

A method and system for providing efficient menu services for an information processing system that uses a telephone or other form of audio user interface. In one embodiment, the menu services provide effective support for novice users by providing a full listing of available keywords and rotating house advertisements which inform novice users of potential features and information. For experienced users, cues are rendered so that at any time the user can say a desired keyword to invoke the corresponding application. The menu is flat to facilitate its usage. Full keyword listings are rendered after the user is given a brief cue to say a keyword. Service messages rotate words and word prosody. When listening to receive information from the user, after the user has been cued, soft background music or other audible signals are rendered to inform the user that a response may now be spoken to the service. Other embodiments determine default cities, on which to report information, based on characteristics of the caller or based on cities that were previously selected by the caller. Other embodiments provide speech concatenation processes that have co-articulation and real-time subject-matter-based word selection which generate human sounding speech. Other embodiments reduce the occurrences of falsely triggered barge-ins during content delivery by only allowing interruption for certain special words. Other embodiments offer special services and modes for calls having voice recognition trouble. The special services are entered after predetermined criterion have been met by the call. Other embodiments provide special mechanisms for automatically recovering the address of a caller.

The invention belongs to the field of multimedia information retrieval and relates to a method for realizing thesaurus-based query expansion and sort in image retrieval. The method comprises a WordNet-based English word semantic similarity metric algorithm, a HowNet-based Chinese word semantic similarity metric algorithm, an expansion rule-based query expansion word selection and optimization algorithm and a retrieval result evaluation and optimization algorithm. In the method, an image search engine is improved by the relevant text processing method and the relevant semantic network dictionary; and the retrieval result is sorted through semantic expansion, user interaction and improved similarity measurement. Compared with the traditional method, the method has the advantages of high accuracy rate, high integrality and low space-time cost. The method has very important significance for performing high-efficiency image retrieval according to image high-layer semantic information and on the basis of a large-scale image data set, and has wide application value in the field of cross-linguistic and cross-media retrieval.

The invention provides an electrical equipment defect detection and maintenance method. The method includes the steps that a configuration file with a preset text format is generated according to attribute parameters, operating environment parameters and equipment state parameters of electrical equipment; text clustering processing including word segmentation, stop word screening, bag-of-words model establishment, feature word selection and feature vector model establishment is carried out on the configuration file, and automatic judgment and classification are carried out according to the similarity between defect information of the electrical equipment under the condition that how many defect types exist specifically is unknown beforehand; then, automatic matching is completed according to defect types having been known beforehand and corresponding keywords so as to obtain the defect type of the electrical equipment; accordingly, defect warning and maintenance can be carried out on the electrical equipment according to the defect type. By means of the method, the efficiency of defect detection and maintenance of the electrical equipment is improved, cost is reduced, and accuracy is improved as well.

The invention discloses a method for providing a search prompt message based on conversation. The method comprises the steps of acquiring a word list of hot words; acquiring conversation messages, selecting a word from the acquired conversation messages according to the preset word selection strategy, and matching the word with the word list of the hot words; setting up a search interlinking message of the selected word successfully matched with the word list of the hot words, and labeling the selected word. According to the application of the method, a device and a system which are disclosed by the invention, a user is helped to search, the search requirements of the user can be known at any time, the operation complexity brought to the user making a search is reduced and the user experience is enhanced.

Methods, apparatus, and products for searching for a directory in a file system are disclosed that include selecting, by a word selection module for inclusion in a word list, a word of text whose frequency of occurrence meets a predefined criterion; inserting, by the word selection module into the word list, the selected word; inserting, by an indexing module into a search index, the selected word in association with the directory name; receiving, by a search module from a user, a search request that includes the selected word; and returning, by the search module to the user in dependence upon the search request and the search index, a search result that includes the directory name. The directory is characterized by a directory name and includes computer storage resources, the computer storage resources including words of text, each word of text characterized by a frequency of occurrence among the computer storage resources.

Disclosed is a text display apparatus including: a display section; a dictionary storage section to store dictionary information composed of a headword of a first language corresponded to description information of a second language; a text storage section to store text data of the first language; a text/translation display control section to display text data and to display a portion of the description information as an initial translated word in the second language; a selection section to select a word; a description information display control section to display the description information; and a translated word selection section to select a portion of the description information as a selected translated word, wherein the text/translation display control section includes a selected translated word discrimination display section to replace the initial translated word to display the selected translated word with a display form different from the initial translated word.

The invention relates to an English word memorizing turntable which effectively settles a problem of no interest in studying English. The technical solution of the English word memorizing turntable is characterized in that the English word memorizing turntable comprises a word ball and a turntable; the center of the turntable is a chamber housing; the inner part of the chamber housing is connected with a ball serving housing through bent pipeline; the inner space of the ball serving housing is divided into a ball serving chamber and a screening chamber; and the ball serving chamber is internally provided with a plurality of uniformly arranged extension springs. The English word memorizing turntable has an ingenious structure and can realize random falling of English words. Furthermore in each English word selection, random selection is realized, thereby preventing infinite loop of some words. Furthermore in English studying, a child can participate in, and playing amusement is improved.

A speech recognition apparatus in which the accuracy in speech recognition is improved as the resource is prevented from increasing. Such a word which is probable as the result of the speech recognition is selected on the basis of an acoustic score and a linguistic score, while word selection is also performed on the basis of a measure different from the acoustic score, such as the number of phonemes being small, a part of speech being a pre-set one, inclusion in the past results of speech recognition or the linguistic score being not less than a pre-set value. The words so selected are subjected to matching processing.

Methods of conducting generative language training using a training corpus having a plurality of words and a plurality of stimuli are described. A stimulus is presented via an electronic display. A selection is received from visual representations of a plurality of the words represented on the display. It is determined whether the selected words correspond to the represented words in the stimulus. A mastery level can be determined based on correspondence of the responses and stimuli and the training corpus or sequence modified based on the mastery level. Another method includes receiving mastery-level data for multiple learners and determining a training sequence using relative difficulties determined from the mastery-level data. Another method includes determining a proficiency level using the correspondence of responses and, if the determined proficiency level corresponds to an intervention criterion, performing an intervention sequence including detecting word selections and unlocking inputs.

The invention discloses an Internet image search based Web verification code generation method. The method comprises the steps of key word selection, picture searching and caching, picture preprocessing, user operation, verification and the like. Nouns are randomly selected from a word bank, and picture resources corresponding to the nouns are obtained by utilizing a search engine, so that corresponding relationships between certain nouns and pictures are generated; the relationships are real and can be conveniently identified by users, but difficultly distinguished by computer programs, so that the Web phenomenon that certain malicious programs masquerade as users to perform unreasonable operations can be avoided, and the security and reliability of a network can be improved. The method solves the technical problems such as poor user experience and high possibility of automatically identifying and cracking the content of verification codes by programs in a verification process for an existing verification code technology. The method has the advantages of being large in verification code space, high in reliability, simple in verification process, quick in user identification, good in user experience and the like.

The invention discloses a text categorization method based on probability word selection and a supervision subject model. The method includes the following steps that (1) punctuation marks in a training text are removed, word frequency information and category information are collected, and a word list and a category list are formed; (2) a subject proportion vector, a subject word matrix, a subject word distinguishing degree matrix and a regression coefficient matrix are initialized; (3) the subject proportion vector, the subject word matrix, the subject word distinguishing degree matrix and the regression coefficient matrix are updated according to the word list of the training text and category iteration of the word list; (4) for a testing text, the word frequency information is collected, and categorization is conducted by using the subject proportion vector, the subject word matrix, the subject word distinguishing degree matrix and the regression coefficient matrix. By means of the method, a complex pre-processing process during text categorization can be reduced to the maximum degree, and the testing text can be categorized more accurately. By means of the method, the distinguishing degree of words in a subject can be excavated, and the significance of the words in the text can be displayed visually.

The invention is suitable for the technical field of data pre-processing, and provides a text classification method for different subject topics. The method comprises the following steps of: A, performing word selection on each subject by using a chi-square test to form a feature vocabulary of the subject; B, performing subject classification on the selected feature words by using a Naive Bayes model; and C, performing secondary classification on first two structures with maximum probabilities given in the Naive Bayes model classification by using a support vector machine to obtain a first result. Through two-time classification, the average accuracy of classification is improved. The text classification method for different subject topics is simple to realize and operate, convenient and accurate to use and more accurate in classification between the subjects, and effectively improves the accuracy of classification between the adjacent subjects.

The invention provides a machine translation apparatus, a method and a program. The machine translation apparatus includes a translation unit for translating an original text of a first language into a translated text of a second language; a translated word candidate acquisition unit for acquiring more than one second translated word different from the first translated word for an original word in the original text corresponding to the first translated word in the translated text, and taking the first translated word and the second translated word as translated word candidates; a fluency calculating unit for calculating the fluency of the translated word candidates, wherein the fluency represents the suitability of the translated word candidates when the candidates are inserted into the insertion position of the first translated word in the translated text to generate a natural translated text; a reverse translation unit for obtaining more than one reverse-translated word for each of the translated word candidates by reverse-translating each translated word candidate into the first language; a similarity calculating unit for calculating the semantic similarity of the reverse-translated words to the original words in the first language; and a translated word selection unit for selecting a corrected translated word to be replaced with the first translated word from among the translated word candidates based on the similarity and fluency.

The invention relates to the technical field of electronic copybooks and specifically to a copybook generating device and a copybook imitating device equipped with same. The copybook generating device is provided with a character and word selection module, a font selection module, a copybook format selection module, and a processing module. A user may flexibly select practice content and the copybook generating device is easier to operate.

The invention provides a query expansion method based on semi-supervised clustering. The query expansion method includes the steps: (1) initially retrieving user queries by a query likelihood estimation language module and returning n front documents of retrieved results; (2) manually annotating k front documents in the initial retrieved results and dividing the k front documents into a relevant document set and an irrelevant document set; (3) analyzing the n front documents by a semi-supervised clustering algorithm for constraint and distance integration and extracting the documents related to the queries as feedback documents; (4) selecting expansion words by an expansion word selection module according to the feedback documents and forming new queries by the aid of the expansion words and original queries. By learning relevancy of a small number of annotated documents and query, relevancy of a large number of unknown documents and query can be accurately estimated, the quality of the feedback documents is improved, and accordingly, the recall ratio and precision of retrieval are effectively improved.

The invention discloses a method and a device for discovering hot words. The method comprises the following steps of presetting a hot word bank and arranging a corresponding hot word weight for each hot word in the hot word bank; expressing a document by utilizing the hot words in the hot word bank according to the word frequency of each hot word in the document and each hot word weight arranged in the hot word bank; clustering documents expressed by the hot words in the hot word bank to be document classes with preset number; carrying out focus sorting on the document classes with preset number, and filtering out the document classes with focus values being smaller than a preset focus threshold; and carrying out hot word selection on the filtered document classes according to the preset hot word selecting strategy. The method and the device for discovering the hot words are applied, so that the clustering complexity can be reduced, and the efficiency for discovering social network focuses is improved.