185 results about "Word generation" patented technology

A method of operating a computerized document search system where information is matched against a database containing documents in response to user queries includes receiving a query identifying a source document that has information content related to the documents within the database. Important words within the source document are detected automatically, where at least one of the important words has been processed using at least two dictionary functions consisting of Derived Words, Acronym, Word Capitalization, and Hyphenation. An importance value is generated for important words in a processed document using a WordRatio and at least one of a selected set of values. A score is generated for a processed document based partly on the importance value of at least one important word in that document. A document list is created for identifying documents that are related to a source document.

A method of generating a phonemic transcription for a word using a computer system is described. In one embodiment, an existing pronunciation generation program is applied to generate an initial transcription. The initial transcription can then be evaluated to identify likely bad pronunciations by looking for phonotactically impossible co-occurrences. Additionally, one or more rules can be applied to generate additional phonemic transcriptions. The resulting transcriptions may be used in place of the initial transcription and / or in addition to the initial transcription. Additionally, when multiple transcriptions result, the transcriptions are ordered according to preference and / or likelihood of use.

A language processing system includes a unified language model. The unified language model comprises a plurality of context-free grammars having non-terminal tokens representing semantic or syntactic concepts and terminals, and an N-gram language model having non-terminal tokens. A language processing module capable of receiving an input signal indicative of language accesses the unified language model to recognize the language. The language processing module generates hypotheses for the received language as a function of words of the unified language model and / or provides an output signal indicative of the language and at least some of the semantic or syntactic concepts contained therein.

The invention provides a method and system for automatically detecting semantic errors in a text. In order to detect the semantic errors in the text, the method generates a first set of features and a second set of features corresponding to each word in the text. A first set of features corresponds to statistical features of a word and a second set of features for a word corresponds to the features generated for a plurality of words surrounding the word in the text using matrix factorization techniques. The method, then, combines a first set of features and a second set of features to generate a third set of features corresponding to each word in the text. Thereafter, the method utilizes an Artificial Neural Network (ANN) model to detect semantic validity of each word based on a corresponding third set of features.

An indexing engine generates a full text index of English and non-English files provided to the indexing engine. The indexing engine receives an input file for indexing, and normalizes the unique words contained in the input file. The normalizing includes stripping the words of any diacritical marks, taking into account different multilingual issues, case folding the words into lowercase, and the like. The normalized words are stored in a dictionary, and a word record is generated for each stored word. Each word record includes a flag that indicates whether one or more variations exist in the input file for the normalized word. One or more tables store information on the variations for the normalized words. When a query engine is invoked to search for an input query word, the variations are searched only if the user has set an option to consider such variations.

A system facilitates a search by a user. The system detects selection of one or more words in a document currently accessed by the user, generates a search query using the selected word(s), and retrieves a document based on the search query. When the document includes one or more links corresponding to a linked document, the system analyzes each of the links, prefetches the linked documents corresponding to a number of the links, and presents the document to the user. The system receives selection of one of the links and retrieves the linked document corresponding to the selected link. The system identifies one or more pieces of information in the retrieved document, determines a link to a related document for each of the identified pieces of information, and provides the determined links with the related document to the user.

Out-of-vocabulary word models for a speech recognizer vocabulary are generated by forming phonemic transcriptions (phonetic baseforms) of user's utterances in terms of existing reference phonemes by using a speech recognition algorithm to match input sub-word feature sample sequences to suitably-constrained allowable sequences of existing reference phoneme features. The resultant new-vocabulary-word phonetic baseform models are stored for subsequent speech recognition using the same recognition algorithm.

A speech recognition dictionary creation device (10) that efficiently creates a speech recognition dictionary that enables even an abbreviated paraphrase of a word to be recognized with high recognition rate, the device including: a word division unit (2) that divides a recognition object made up of one or more words into constituent words; a mora string obtainment unit (3) that generates mora strings of the respective constituent words based on the readings of the respective divided constituent words; an abbreviated word generation rule storage unit (6) that stores a generation rule for generating an abbreviated word using moras; an abbreiivaed word generation unit (7) that generates candidate abbreviated words, each made up of one or more moras, by extracting moras from the mora strings of the respective constituent words and concatenating the extracted moras, and that generates an abbreviated word by applying the abbreviated word generation rule to such candidates; and a vocabulary storage unit (8) that stores, as the speech recognition dictionary, the generated abbreviated word together with its recognition object.

A device for the generation of analog signals by means of analog-digital converters comprises a block for the generation of words encoded on N bits and an analog-digital converter whose input is encoded on M bits, M being smaller than N. The device furthermore comprises a sigma-delta modulator, at the output of the first block, the bus being separated into M most significant bits reserved for the input of the analog-digital converter and N-M least significant bits that enter the sigma-delta modulator, the output of this modulator being an M-bit bus that is added to the M output bits of the word generation block by digital addition means, M being smaller than N.

[Object] To provide a device assisting a user to easily generate, in relation to an issue of interest to the user, a question sentence guaranteed to have an answer of a certain accuracy or higher in a question-answering system.[Solution] A question sentence generating device is used with a question-answering system, and it includes: word receiving means for receiving a word 480 as a source for generating a question sentence; and question sentence generating database 502 comprised of a plurality of entries for generating a question sentence. Each of the plurality of entries has a word as a key and includes an answer sentence pattern co-occurring with the word, used in the question-answering system. The question sentence generating device further includes a question sentence generating unit 506, searching the question sentence generating database 502 for an answer sentence pattern using the word 480 received by the word receiving means as a key, for generating a question sentence from a retrieved answer sentence pattern and the received word 480.

This invention relates to one digital keyboard multi-function and multi-language input system and method, which adopts Unicode to make each language character computer inner codes and output layer to get integration to realize input, translation and computation functions. The invention system comprises input module, judgment module, conversion module, word automatic cut module, prediction module, association module, translation module, computation module, telephone number module and word generation module connected by standard application programs.

A method and device for correcting mispronunciations of a user, the method comprising the following steps: providing a database comprising a plurality of records each of which comprising at least a textual and a vocal representation of a specific word; training a speech recognition module to recognize spoken utterances of said user comprising the words represented by said records; generating word models for each recognized spoken word; associating each word model with a respective database record; after training said speech recognition module with sufficient words receiving spoken utterance from said user; extracting a sequence of words from said spoken utterance and generating a word model for each extracted word; comparing said word models to the word models associated with said database records; constructing an audible output comprising vocal representations obtained from records which their word models matched word models generated for said extracted word, wherein said word models comprises features extracted from data of the words spoken by said user.

A method and system for computational interpretation of natural language, wherein in an input string is received from input means. The input string is first tokenizde for providing a list of words. Then the list of words is stemmed for providing the words in the root form. The stemmed list is then tagged for providing classification tags for each word, which allows generating the context sensitive information for each word. Lastly said tags are used for parsing the structural dependencies for each word.

In an index generating device, a similarity calculating unit calculates access similarities indicating similarities of access histories between documents, based on history information indicating the access histories to the respective documents by users, and a similar document specifying unit specifies a similar document similar to a given document as a retrieval target, based on the access similarities or the like. A retrieval index generating unit generates a retrieval index for the given document as the retrieval target from words appearing in a document set consisting of the similar document and the given document as the retrieval target.

According to an embodiment of the invention, a method and apparatus are described for producing an error word for a data stream. According to an embodiment of the invention, a method includes receiving a plurality of data elements of a data stream; and updating an error word for the data stream by processing the plurality of data elements in a single iteration.

Disclosed herein is a language learning apparatus and method using a growing personal word DB system, which construct an individual person-based word DB in which known words and unknown words are stored separately. The language learning apparatus includes a word extraction unit for extracting words included in learning content and generating a word list. A word analysis unit sets learning levels of words included in the word list based on a level-based word DB. A control unit generates an individual person-based word DB in which classification into known words and unknown words is performed and known words and unknown words are stored separately based on a learning level of a learner and the level-based word DB, and performs control such that the words included in the word list are classified into known words and unknown words and are stored separately based on the set learning level.

This invention relates to a unitary hand held medical prescription transcriber and printing unit. More specifically, a small, portable electronic device is provided which can record words spoken by a physician and from those words generate a printed medical prescription that is delivered directly from the device itself. The unit digitizes words spoken by the user, processes the speech to recognize the words spoken by comparing the acoustic spectral characteristics of the spoken words to the characteristics of a database of known words, formats those words in the form of a prescription, and prints the prescription onto paper using a small integral printer contained in the unit. In a alternate embodiment, the unit may display the prescription on a liquid crystal display screen and the user may edit the prescription before printing a hard copy. The unit assists in accurate dispensing of medicines by providing a legible prescription printout, while at the same time being neither time consuming nor difficult to operate.

The invention discloses a candidate set calculation method in character input. The method comprises the following steps of: extraction: extracting error correction query pairs in a user log and establishing an error correction character string pair for each error correction query pair, wherein the error correction query pairs indicate corresponding relationships between wrongly input character contents and correctly input character contents, and the error correction character string pairs indicate corresponding relationships between wrongly input character strings and correctly input character strings in the error correction query pairs; and candidate set calculation: when a character string in an input single word ti is matched with the error correction character string pairs, generating a variant set V={v1, v2, ..., vn} of the word according to the error correction character string pairs to serve as a candidate set C={c1, c2, ..., cn}, and calculating a corresponding output probability P={p1, p2, ..., pn}. The invention furthermore discloses a candidate set calculation device and an input error correction method and device. By utilizing the methods and devices disclosed by the invention, the error correction correctness can be improved, and good adaptability is expressed for new word error correction.

A method of, and system for, extracting topic words from a collection of documents across multiple and potentially very large number of domains. Documents are selected and ranked based on similarity with at least one seed word, which defines a topic. Seed words may be entered directly by a user or provided by another application. Keywords are extracted from documents determined to be a sufficiently good match to the topic and may be displayed to the user or used as input into word prediction or word analysis and display software. Documents are determined to be a sufficiently good match to the topic using an iterative algorithm starting with the best match and selecting documents containing keywords sufficiently similar to the previously selected documents.

The invention discloses a neural network question generation method based on answers and answer position information, and a neural network model is from a sequence to a sequence and consists of an encoder and a decoder. Wherein the encoder model mainly learns characteristics in an original text, and the decoder is used for generating a question sentence corresponding to an answer by using the characteristics. The complete generation process of the question sentence is divided into three modes, namely a question word generation mode, a dictionary word generation mode and a copy mode. Wherein the question word generation mode uses an answer-based model, participates in model calculation through context vectors irrelevant to position information of answers in an original text, and generates question words corresponding to the answers from a limited question word dictionary; Wherein the question word generation mode adopts context vectors related to position information of answers in an original text for calculation; The probability distribution of the copy mode directly uses an attention distribution related to location information of the answer in the original text.

A system is disclosed for generating a scene description from a set of words. The system includes modules that perform the following functions: performing a linguistic analysis on a set of words to generate a structure representation of semantic relationships between words within the set of words, converting the structure to a set of description elements representative of objects to be depicted in a scene and relationships between objects, depicting a spatial relationship by using at least one spatial tag of an associated one or more of the object, and assigning a set of depictors to each of the description elements. Each depictor in the set of depictors may include a reference to an object to be modified, parameters used in modifying the object and a procedure for modifying the object. The system may also include a module that generates the same description by execution of the procedure for the modification of the objects.

The invention relates to a new word mining method and device, a computer device and a storage medium. The method comprises the following steps: obtaining text information to be subjected to new word mining; filtering the text information according to a preset filtering method to generate a plurality of text statements; inputting the plurality of text statements into a preset Nago algorithm model to generate a plurality of candidate words; inputting each candidate word into a pre-trained classifier, and carrying out word classification discrimination; and selecting new words meeting requirements according to a word classification judgment result. According to the new word mining method, the candidate words are generated by adopting the Nago algorithm, and the candidate words are detected and judged by adopting the pre-trained classifier, so that the words with low accuracy can be removed, and the new word generation accuracy is improved.

A machine translation apparatus includes a plurality of target language document databases used for a translation from an original language to a target language. A database control unit assigns a priority degree to each of the plurality of target language document databases, and indicates a target language document database of the highest priority degree. A translation word generation unit generates a plurality of translation word candidates of an original word for the translation. A translation word learning unit selects a translation word from the plurality of translation word candidates by using the target language document database indicated by the database control unit.

A system for generating a scene description from a set of words includes modules that perform the following functions: performing a linguistic analysis on a set of words to generate a structure representation of semantic relationships between words within the set of words, converting the structure to a set of description elements representative of objects to be depicted in a scene and relationships between objects, depicting a spatial relationship by using at least one spatial tag of an associated one or more of the object, and assigning a set of depictors to each of the description elements. Each depictor in the set of depictors may include a reference to an object to be modified, parameters used in modifying the object and a procedure for modifying the object. The system may also include a module that generates the same description by execution of the procedure for the modification of the objects.

The invention relates to an LC voltage-controlled oscillator with an automatic output oscillation amplitude correction function. The LC voltage-controlled oscillator comprises an oscillator core circuit module, a low-pass filtering device, a comparator, a digital automatic amplitude correction module, a biasing circuit module and a switch resistor control word generation module. The oscillator core circuit module comprises a first switch resistor array, an LC resonance network, a variable capacitor array / cross coupling transistor and a second switch resistor array. The biasing circuit module comprises a third switch resistor array and a current programmable control array. The LC voltage-controlled oscillator has the advantages that the switch resistor arrays are substituted for conventional current source arrays, so that influence of noise in circuits on phase noise of the oscillator is reduced; a biasing circuit is used for adjusting the output oscillation amplitude of the oscillator in real time, and an output amplitude detection loop is formed by the low-pass filtering device, the comparator and the digital automatic amplitude correction module; output signal amplitude detection points are selected between a resonance network and the switch resistor arrays, and accordingly, influence of detection loop noise on oscillator output signals is reduced.

The present invention provides a voice recognition apparatus and a voice recognition method. An extraction unit respectively extractes feature amounts from a plurality of voice data relative to a plurality of rejected words when the rejected words are applied to recognition words registered in the word dictionary. A collation unit calculates a degree of similarity between the voice signal and each of the recognition words and reject words stored in the word dictionary by using the feature amount extracted by the extraction unit. A result determination unit determines whether or not a word having a high calculated degree of similarity corresponds to a reject word, when the word is determined as the reject word. A reject word generation unit generates an acoustic model from a voice signal having a high degree of similarity to the recognition word to which the reject word is added, calculated by the collation unit, and stores the generated acoustic model in the word dictionary as a reject word relating to the recognition word.

The embodiment of the invention discloses a model training method, an information generation method and device, electronic equipment and a computer readable medium. The embodiment of the model training method comprises the following steps: extracting a sample text and a tag word sequence of the sample text from a sample set; Determining a first word vector sequence corresponding to the sample textand a second word vector sequence corresponding to the tag word sequence; Taking the first word vector sequence as the input of a pre-established first initial model; taking the output of the first initial model and the first word vector sequence as the input of a pre-established second initial model, taking the second word vector sequence as the output of the second initial model, and training the first initial model and the second initial model by using a machine learning method; And determining the trained first initial model as a semantic vector generation model, and determining the trained second initial model as a tag word generation model. According to the embodiment, the tag word generation accuracy is improved.

The invention relates to the technical field of test and measurement, especially to a method and device for changing the phase jump of PSK. The device comprises a serial-to-parallel converter, a starting unit, a PSK word generation unit and a signal generator, wherein the serial-to-parallel converter is used for modulating a to-be-modulated baseband code element in a binary sequence and generating a modulation code element; the starting unit emits a phase jump signal when the modulation code element changes; the PSK word generation unit is used for generating PSK words in a transitional area within a period tau via a continuous function according to the phase jump signal; and the signal generator is used for generating a carrier wave whose phase continuously changes according to the PSK words. According to the method and device, the required phase shift is modulated, the transitional area ensures that the phase shift is continuous and smooth, thus, phase jump in the prior art is changed, and harmonic-wave components generated by phase jump is greatly inhibited.