6 results about "Lexicon" patented technology

The invention provides a backward word segmentation method and device based on Chinese retrieval and relates to the field of processing of webpage character information in computer networks. According to the backward word segmentation method and device based on the Chinese retrieval, professional word banks are established in a robot dictionary, the value of the MAX_Length is determined firstly according to the maximum lengths of proper nouns in the word banks, a backward matching algorithm is formed through a backward maximum matching algorithm, and in order to solve the problems of word segmentation ambiguity and incomplete matching during backward matching, a maximum length matching algorithm is improved. According to the backward word segmentation method and device based on the Chinese retrieval, word segmentation is carried out on a Chinese character string which is S=C1C2C3C4...Cn through the device which is composed of a central processing unit, input-and-output equipment, a register, a mechanized dictionary, a window counter and a memorizer, accuracy segmentation of Chinese character strings can be achieved on the premise that the semantic of the Chinese character strings is not lost, a word segmentation result is quite accurate when a sentence is quite long, and searching accuracy can be improved. The backward word segmentation method and device based on the Chinese retrieval can be applied to an automatic abstracting and sorting system in the field of information retrieval.

Disclosed in the invention is a keyword knowledge management system comprising a kernel keyword information base, a keyword operation management system, a keyword classification management module, a keyword splitting management module, a keyword training management system, a keyword expansion management system and a keyword examination management system. The kernel keyword information base consists of a keyword base, a knowledge point base, a knowledge unit base and a vocabulary library; and the keyword base includes a keyword material and a keyword question bank. The kernel keyword information base is connected with the keyword operation management system, the keyword classification management module, the keyword splitting management module, the keyword training management system, the keyword expansion management system, and the keyword examination management system and provides a data support for all systems and modules.

The invention discloses word entry retrieval and wrong word detection methods and systems for a pinyin input method. The retrieval method comprises the steps of detecting whether a reference word entry exists before or after a currently input pinyin string; if the front or back reference word entry exists, performing matching in a word bank according to the front or back reference word entry and the current input pinyin string to obtain at least one back or front word entry; and if no reference word entry exists before or after the pinyin string, performing matching in the word bank according to the current pinyin string to obtain corresponding word entries or a word entry list. The wrong word detection method comprises the steps of obtaining at least one front or back word entry according to the reference word entry of the pinyin string currently input by a user; constructing a word graph; performing forward and reverse comparison, wrong key processing or wrong sequence processing; and judging whether the processed pinyin string meets a pinyin rule or not, and if yes, returning the word entry corresponding to the word graph to the user. According to the methods and systems, the word entry recommendation accuracy and the user input correction capability in the input method are improved.

A method and system for performing on-device image to text conversion are provided. Embodiments herein relates to the field of performing image to text conversion and more particularly to performing on-device image to text conversion with an improved accuracy. A method performing on-device image to text conversion is provided. The method includes language detection from an image, understanding of text in an edited image and using a contextual and localized lexicon set for post optical character recognition (OCR) correction.