40 results about "Word language" patented technology

A speech recognition system provides a subword decoder and a dictionary lookup to process a spoken input. In a first stage of processing, the subword decoder decodes the speech input based on subword units or particles and identifies hypothesized subword sequences using a particle dictionary and particle language model, but independently of a word dictionary or word vocabulary. Further stages of processing involve a particle to word graph expander and a word decoder. The particle to word graph expander expands the subword representation produced by the subword decoder into a word graph of word candidates using a word dictionary. The word decoder uses the word dictionary and a word language model to determine a best sequence of word candidates from the word graph that is most likely to match the words of the spoken input.

A language model comprising a plurality of augmented-word n-grams and probabilities corresponding to such n-grams. Each n-gram is comprised of a sequence of augmented words. Each augmented word is comprised of the orthographic representation of the word together with a tag representing lexical information regarding the word, such as syntactic or semantic information. Also disclosed are a method of building such a language model, a method of automatically recognizing speech using the language model and a speech recognition system that employs the language model.

The invention relates to a method for displaying Mongolian on a GNOME desktop system platform of an LINUX system. The method comprises steps of building a Mongolian processing system engine in a Pango system processing word language in the GNOME desktop system, registering a name of the Mongolian processing system to the Pango system executing word langue processing, forming an interface between the Mongolian processing system engine and a word langue processing module of an operation system, generating a Mongolian processing module based on rules and structures of an Open Type font in the Mongolian processing system engine, constructing an font section engine to select and replace the Open Type Mongolian font, and finally obtaining correct Mongolian display results after font selecting replacement. Mongolian display and intelligent input thereof on the basis of the Unicode in the Linux operation system are realized by the method, and the Mongolian display and the intelligent input method thereof can be used together with Chinese or other language input methods which are loaded and can not affect original functions and applications thereof.

A problem to be solved is to robustly detect a pronunciation variation example and acquire a pronunciation variation rule having a high generalization property, with less effort. The problem can be solved by a pronunciation variation rule extraction apparatus including a speech data storage unit, a base form pronunciation storage unit, a sub word language model generation unit, a speech recognition unit, and a difference extraction unit. The speech data storage unit stores speech data. The base form pronunciation storage unit stores base form pronunciation data representing base form pronunciation of the speech data. The sub word language model generation unit generates a sub word language model from the base form pronunciation data. The speech recognition unit recognizes the speech data by using the sub word language model. The difference extraction unit extracts a difference between a recognition result outputted from the speech recognition unit and the base form pronunciation data by comparing the recognition result and the base form pronunciation data.

The invention discloses a generation method of video indexing data and a device. The generation method of the video indexing data comprises the following steps: obtaining video content and text content which is relevant to the video content, classifying the text content, selecting a proper pinyin language model and a proper word language model according to a classification result, segmenting voice data of the video content and classifying speakers, selecting a proper acoustic model according to a speaker classification result, generating a pinyin gridding according to the selected acoustic model and the selected word language model and a first pronunciation dictionary according to the text content, obtaining a word gridding according to the pinyin gridding, the word language mode corresponding to the text content, and a second pronunciation dictionary, recalculating a confidence coefficient of the word gridding to obtain a new work gridding according to the pinyin gridding and the word gridding, and finally combining the new gridding with original video content to obtain the video indexing data. According to the video indexing data, a user can conveniently and accurately retrieve the relevant video content through text keywords.

The invention discloses a speech recognition method, device and apparatus. The method comprises the following steps: receiving voice from a user; obtaining a hot word language model, wherein the hot word language model is a language model obtained by training according to hot words provided by the user; decoding the voice by using the hot word language model and a preset main language model. According to the method, at least the hot word recognition accuracy can be effectively improved.

The invention discloses an address identification device, comprising units as follows; a key word deletion judging unit that judges whether or not a key word in an input address image is deleted; an integral address identification unit that identifies integrally the address region among the key words when the key word deletion judging unit judges that the key word in the input address image is deleted; a word language address identification unit that identifies the word language for the input address image when the key word deletion judging unit judges that the key word in the input address image is deleted; a reliability judging unit that judges reliability of the address identified by the integral address identification unit; wherein when the reliability judging unit judges that the address identified by the integral address identification unit is not reliable, the word language address for the input address image is identified by the word language address identification unit.

The invention belongs to the technical field of image recognition, and particularly relates to a text positioning method and system based on the visual structure attribute. Based on the visual attribute of a text, by means of color polarity difference transformation and edge neighborhood tail end bonding, abundant closed edges are detected so that abundant candidate connection elements can be obtained, then character stroke attributive character and text colony attributive character screening is conducted, the connection elements belonging to characters are extracted from the candidate connection elements, and then the final text is positioned through multi-channel blending and repeated connection element removal. The method is high in robustness and can be adapted to the situation that multiple word language categories are mixed, or various font styles exist, or arrangement directions are random, or background interference exists and other situations, the positioned text can be directly provided for OCR software for recognition, and OCR software recognition rate can be increased. The text positioning method and system based on the visual structure attribute can be applied to image video retrieval, junk information blocking, vision assisted navigation, street view positioning, industrial equipment automation and other fields.

The invention relates to a word language managing technique and a computer data structure technique, in particularly a method for constructing a word language structure tree. The method includes steps as follows: a rule for converting the word language to a space position and converting; a rule design construction of a word language structure tree code information; a method for synthesizing and managing the word language structure tree code information; a method for analyzing and identifying the word language structure tree code information; processing the word language through the computer or other devices that can calculate and store for obtaining the word language tree junction. The method can manage word language simply, directly and efficiently, the user can use the word language tree for reaching same effect when the user manages the word language. The word language tree has certain regularity that can increase efficiency greatly in processing the word language tree. The method has strong practicability.

The invention discloses a text detection and recognition method and system combined with text classification. The method comprises the following steps: acquiring all target text line boxes in a target picture; cutting and extracting all the target text line frames to obtain a text graph; sending the text graph into a text direction classification model, and carrying out correction identification to correct the text graph in any direction to the same horizontal direction so as to obtain a text correction graph; sending the text correction graph to a character language classification model, and carrying out character language category recognition to obtain a character language category image; and sending the character language category image into a language text recognition model corresponding to the language category, and performing recognition to obtain a final text content. According to the invention, the problem that text detection in the prior art cannot detect texts with any shapes and complex scenes is solved; the conditions that the text is reversed and the direction is not positive cannot be detected; and the problems of high time cost and low efficiency caused by the fact that multi-language text regions need to be sent into a plurality of models for recognition are solved.

The invention discloses a text language type switching method and device, equipment and a storage medium. The method comprises the steps of receiving typewriting input of a user; in response to the typing input, displaying a first text field; receiving a first input of a user; in response to the first input, determining a to-be-switched text field of the first language type in the first text field; receiving a second input of the user; and in response to the second input, switching the to-be-switched text field to a target text field of the second language type. According to the method, a large number of unnecessary editing operations of the user can be avoided, so that the editing experience of the user is improved.

The invention relates to the field of artificial intelligence, discloses a certificate picture generation method, device and equipment and a storage medium, which are used for improving the accuracy of generating a certificate picture conforming to a real scene. The certificate picture generation method comprises the steps of obtaining a sample certificate picture, wherein the sample certificate picture comprises sample text data and sample background data; using a picture similarity comparison algorithm for forming certificate background data and certificate character data based on the sample certificate picture, and the certificate character data comprising character language data and font style data; writing the certificate text data into the random position of the certificate background data to generate an initial certificate picture; preprocessing the initial certificate picture to generate a plurality of preprocessed certificate pictures; and adopting a preset random scaling function to perform multiple times of random scaling on the plurality of preprocessed certificate pictures, so that a plurality of target certificate picture groups can be generated. In addition, the invention also relates to a blockchain technology, and the sample certificate picture can be stored in the blockchain.

An example embodiment may involve a software application executable on computing devices of a remote network management platform containing a computational instance associated with a managed network. A text string may be received, and characters of the string may be categorized among a plurality of symbol script families. A respective likelihood of the string corresponding to each family may be determined, and a respective probability of the string being in each language of each given family may also be determined. The respective probabilities for the languages of each given family may be weighted by the likelihoods of the given family, and then weighted sums of the probabilities for each language may be computed. The maximum of the weighted sums may correspond to the language of the text string. The respective probabilities may be determined according to hybrid N-gram and word language models for each family.

The invention provides an ID mapping method based on a regulation and control cloud platform, and the method comprises the steps: obtaining the equipment information of regulation and control cloud and D5000 of a power system, and carrying out the classification of the equipment information of the regulation and control cloud and the D5000 of the power system according to the types; on the basis of classification, sequentially utilizing a pre-constructed Chinese equipment word bank to carry out word segmentation processing on equipment in the power system regulation and control cloud and equipment in D5000, and constructing text information corresponding to the equipment in the power system regulation and control cloud and the equipment in D5000 by considering the occurrence frequency of word segmentation; based on the text information corresponding to the equipment in the power system regulation and control cloud and the text information corresponding to the equipment in the D5000, determining a relationship between the equipment in the power system regulation and control cloud and the equipment in the D5000; through the cloud platform and the D5000 which are matched in a mappingmode, efficient collection and storage can be well conducted, and information exchange sharing and analysis synchronization are achieved; according to the method, the difference of character languagesis fully considered, word segmentation is performed on equipment names by establishing a Chinese word bank, and the semantic difference is reduced.