1637 results about "Pinyin" patented technology

Systems and methods to process and translate pinyin to Chinese characters and words are disclosed. A Chinese language model is trained by extracting unknown character strings from Chinese inputs, e.g., documents and/or user inputs/queries, determining valid words from the unknown character strings, and generating a transition matrix based on the Chinese inputs for predicting a word string given the context. A method for translating a pinyin input generally includes generating a set of Chinese character strings from the pinyin input using a Chinese dictionary including words derived from the Chinese inputs and a language model trained based on the Chinese inputs, each character string having a weight indicating the likelihood that the character string corresponds to the pinyin input. An ambiguous user input may be classified as non-pinyin or pinyin by identifying an ambiguous pinyin/non-pinyin ASCII word in the user input and analyzing the context to classify the user input.

Systems and methods to process and correct spelling errors for non-Roman based words such as in Chinese, Japanese, and Korean languages using a rule-based classifier and a hidden Markov model are disclosed. The method generally includes converting an input entry in a first language such as Chinese to at least one intermediate entry in an intermediate representation, such as pinyin, different from the first language, converting the intermediate entry to at least one possible alternative spelling or form of the input in the first language, and determining that the input entry is either a correct or questionable input entry when a match between the input entry and all possible alternative spellings to the input entry is or is not located, respectively. The questionable input entry may be classified using, for example, a transformation rule based classifier based on transformation rules generated by a transformation rules generator.

The techniques described include generating tonal information from a textual entry and, further, applying this tonal information to PINYIN sequences using decision trees. For example, a method of predicting tone pattern information for textual information used in telecommunication systems includes parsing a textual entry into segments and identifying tonal information for the textual entry using the parsed segments. The tonal information can be generated with a decision tree. The method can also be implemented in a distributed system where the conversion is done at a back-end server and the information is sent to a communication device after a request.

Method and apparatus for converting language text input into a different language text output. One embodiment may be configured to convert Pinyin into written Chinese language text. Embodiments may provide a language input mechanism that accepts phonetic language input text and generates written language output text, and that also accepts modifications to existing input text and automatically corrects the corresponding output text. Embodiments may display one or more alternative output text words and/or sentences as candidates for the transliteration of the input text. The candidate output words may be ranked according to calculated probabilities, with a most probable candidate appearing first. The user may select from the candidate output text to build an output sentence that represents the correct or preferred transliteration of the input text. A lexicon, language model and history cache of previously selected output text words may be referenced in determining the probabilities of candidate output words.

A Chinese text entry system with eye-tracking technique can be used for computer input of Chinese characters. The system is comprised of two main components: the Chinese pinyin software and the eye-tracking system. Chinese characters corresponding to pinyin input are selected from a list of candidate characters by selecting the proper character through eye-tracking identification and confirming the selection by pressing a readily accessible confirmation key. The Chinese pinyin software implements pinyin input at both the character and word level, choosing from multiple character or word homonyms as pinyin is entered. The system uses eye-tracking technology that is only used to identify the correct Chinese character, with the character selection and entry occurring when the confirmation key is pressed.

A system and method for inputting Chinese characters using Pinyin without requiring the entry of a delimiter key between Pinyin entries in a reduced keyboard is disclosed. The system searches for all possible single or multiple Pinyin spellings based on the entered Latin alphabets. Once the user has completed the inputting of the Pinyin spellings for desired Chinese phrase or characters, all possible matching phrases or characters are displayed on screen and off-screen due to screen size. The user then scrolls through a list of matching phrases or characters and selects the desired one by clicking.

Layouts for keypads are provided that have an improved combination of a regular of intuitive arrangement of alphabetic symbols of a language defined by letter characters of the Roman alphabet and an efficient distribution of the symbols to minimize input ambiguities. More particularly, the symbols are for the Pinyin alphabet which includes two main symbol groups thereof for forming Pinyin syllables. The various layouts employ a columnar-based arrangement for the symbols of the initial group. The symbols for the final group are parsed down to basic characters and are distributed in a row-based arrangement.

The invention relates to an intelligent error correction system of key words in the process of searching networks and a method thereof. On an Internet platform, firstly, a related linguistic model and a corresponding dictionary as well as a data index database are established through the training of related data information; secondly, a text is inputted, a Pinyin error correction part calculates the mistakes of Pinyin and characters, the error correction of characters is calculated by a fuzzy match; finally, all results are filtered according to the degree of association, a plurality of results are sorted to get the proximal results. The polyphone mistakes and character types as well as word types mistakes inputted by a user are corrected by means of the sound-character conversion and fuzzy error correction technical methods to correct the character replace mistakes, the unwanted character or the leakage of character mistakes, the character position mistakes, etc. in the input process. Moreover, the basic functions are expanded on the basis such as the English-Chinese and punctuations mixing error correction, the fuzzy match technique, the related prompt technique and the enhanced intelligence error correction.

Fault-tolerant systems and methods to process and correct input spelling errors for non-Roman based languages such as Chinese, Japanese, and Korean (CJK) are disclosed. The method may be applied to a Chinese input method using pinyin. For example, the method may generally include receiving a pinyin input representing characters in Chinese, the input having at least one original pinyin, identifying potentially incorrect pinyins in the input, expanding each potentially incorrect pinyin to at least one additional alternative pinyin, each pair of potentially incorrect and corresponding alternative pinyin having a proximity measurement, converting each pinyin in the input and each alternative pinyin to Chinese characters, computing likelihoods of possible conversions of the pinyin input to Chinese characters, each possible Chinese conversion being a combination of the converted original and/or alternative pinyins of the input, the probabilities being based on the proximity measurement and optionally on a context of the possible Chinese conversion, and determining a most likely Chinese conversion from the possible conversions.

The invention includes methods and devices for selecting an ideographic character. A pointing device may be used to select a pinyin character, then one of more pinyin-groups and finally an ideographic character.

The invention relates to a device for remotely controlling operation of computer programs through foreign language texts and belongs to the technical field of computer man-machine interaction automatic control. According to the technical scheme, the device comprises a foreign language text input remote control device module 1, a network transmission module 2, a computer system 3, a foreign language and Chinese translation module 4, a module 5, a module 6 and a program execution module 7, wherein the module 5 is stored in the computer system 3 in advance and used for performing computer program binding on key words in converted Chinese phonetic codes, Chinese characters or pinyin, the module 6 is used for arranging and connecting the bound programs in an executive logic order, the program execution module 7 is stored in a computer, and all the modules are connected in series in an order in which information is processed by the computer. Through the device, foreign non-computer-programming personal can conveniently call and operate computer programs through foreign natural language texts in real-time, non-real-time, on-site or off-site modes.

The invention discloses a Chinese word segmentation method based on two-way LSTM, CNN and CRF which improves and optimizes traditional Chinese word segmentation base on deep learning algorithm. The method comprises following specific steps: preprocessing the initial corpus, extracting corpus character feature information and pinyin feature information corresponding to characters; using the convolutional neural network to obtain pinyin feature information vector of the characters; using the word2vec model to obtain the character feature information vector of text; splicing pinyin feature vectors and character feature vectors to obtain context information vectors and put the context information vectors to a bidirectional LSTM neural network; decoding the output of the bidirectional LSTM using the linear chain condition random field to obtain the word segmentation sequence; decoding the word segmentation label sequence to obtain word segmentation results. The invention utilizes the deep neural network to extract text character features and pinyin features and combines the conditional random field decoding, can effectively extract Chinese text features and achieve good effect on Chinese word segmentation tasks.

The invention discloses a Chinglish inquiring correcting method and system oriented to an English search engine. The system comprises a Chinglish expression base establishing module, a data preprocessing module, a pinyin correcting module, a Chinglish correcting module, an English candidate inquiring word correcting module and a result output module. The Chinglish expression base establishing module is used for establishing a contrast database of Chinglish phrases and corresponding correct English phrases through literal translation of common English phrases; the data preprocessing module is used for achieving normalization processing on inquiring words, avoiding correcting errors caused by irregular input of users and improving the accuracy of correcting processing; the pinyin correcting module is used for carrying out pinyin recognition on inquiring words and carrying out pinyin translation on the inquiring words if the inquiring words are pinyin; the Chinglish correcting module is used for carrying out Chinglish correction on the inquiring words based on the Chinglish expression base. A selecting candidate correcting and inquiring method based on adjacent word splicing and long word splitting is increased, and the accuracy of a candidate correcting and inquiring set is improved.

The invention discloses a polyphone model training method for speech synthesis, and a speech synthesis method and device. The method comprises the following steps of processing a voice data set and a text set so as to generate a training corpus set, wherein the text set corresponds to the voice data set, and the training corpus set comprises texts and Pinyin sequences corresponding to the texts; extracting feature information of the texts; and training polyphone models according to the feature information and the Pinyin sequence. According to the polyphone model training method for speech synthesis, in a polyphone model training process, manual labeling on Pinyin of the texts is not required, a training period of the polyphone models is greatly shortened, meanwhile, the circumstance that the trained polyphone models are inaccurate due to wrong manual labeling is avoided, and accuracy of the trained polyphone models is improved.

The invention discloses a Chinese text verification system and method based on Chinese vague pronunciation and voice recognition. The system comprises a voice collecting and processing module, a voice recognition module and a text verifying and sharing module, wherein the voice collecting and processing module is used for collecting an audio and compressing and denoising the audio, the voice recognition module is used for recognizing voices into a text, and the text verifying and sharing module is used for achieving text verification and meanwhile supports text editing and sharing. The method comprises the steps that Chinese error judgment rules based on parts of speech are defined; word segmentation is carried out on the Chinese text obtained after voice recognition; the segmented words are scanned according to the Chinese error judgment rules to find out wrong Chinese words; a vogue pronunciation table is defined based on Chinese vogue pronunciation rules; all vogue pinyin of the wrong words is found out through a Cartesian product mode; a dictionary table is inquired to obtain a candidate word set of all the vogue pinyin; a candidate error correction set is selected out of words of the candidate set of all the vogue pinyin according to a word frequency rank. By means of the Chinese text verification system and method based on Chinese vague pronunciation and voice recognition, Chinese errors, caused by Chinese vogue pronunciation, in voice recognition are eliminated, and the error correction accuracy rate of a verification algorithm is effectively increased.

The present invention provides a numeric coded Pinyin and Zhuyin multi-character input method on a reduced keypad, in which each Chinese phrase is mapped to corresponding numeric sequences based on full syllable or initial consonant of a syllable inputting rule and the keypad mapping relation, accordingly, phrases of different phonetic pronunciation may be mapped to a same numeric sequence; in the case of consecutively receiving a numeric keystroke sequence which represents of several desired Chinese characters but pronunciation still undetermined, a processor immediately searches the phrases' numeric sequences which are matched with keystroke sequence and present these mixed phrase candidates to user even though these candidates may have different pronunciation; further, an initial syllable grouping and cycling rule is specially defined, along with a key for switching between character candidate priority and phrase candidate priority, additionally, define an equal-length candidate filtering code keystroke, and a key for determining syllable by character and the like to accelerate the choice of candidate phrases and facilitate the realization of PC-like Chinese phrase consecutive inputting on the reduced keypad.

The invention discloses a Chinese text sentiment analysis method based on deep learning, and belongs to the technical field of natural language processing. The defects of an unsupervised sentiment analysis method based on English are overcome. The method comprises the following steps: after converting an obtained corpus text into pinyin, pre-training a constructed language model to obtain a pre-trained language model; obtaining a small amount of text data which is in the same field as the corpus text and has emotion categories, converting the text in the text data into pinyin, and training a constructed emotion classification model based on a pre-trained language model to obtain a trained emotion analysis model; and carrying out sentiment classification on the unlabeled text by utilizing the trained sentiment analysis model to obtain a corresponding sentiment category label. The method is used for Chinese text sentiment analysis.

The invention discloses a sensitive word filtering method based on text content. The method comprises the steps that a Chinese sensitive word bank is constructed, Chinese words in the Chinese sensitive word bank are expanded to be pinyin blend words, and a pinyin blend sensitive word bank is formed; a transfer function for determining all sensitive words in a finite state automata is established through a sensitive word search tree structure, and sensitive words in the pinyin blend sensitive word bank are made into a sensitive word tree; and the sensitive words are retrieved in a text according to the structure of the sensitive word tree, and the retrieved sensitive words are replaced with designated signs to complete sensitive word filtering. The method is high in recall ratio and easy to implement in practical application.

The invention provides a vehicle navigation POI (Point of Interest) search engine based on an internetwork word segmentation idea, comprising the following steps of: (1) carrying out word segmentation treatment on a POI name in POI original data; (2) generating information index of the POI search engine according to a word segmentation result; and (3) inquiring the POI name according to the information index of the POI search engine. The invention can provide queries of characters and pinyin and provide the functions of prompting association when a query is input, previewing the number of search results, automatically correcting a misinput and inquiring the multiple times of inputs in combination.