41results about How to "Improve error correction accuracy" patented technology

The invention provides an error correction method and device for search terms, wherein the method comprises the steps of recognizing wrong search terms; calculating weighted edit distance between the search terms and hot terms obtained in advance using weighted edit distance algorithm, wherein during the weighted edit distance calculating process, with respect to operations to transform the search terms into hot terms, respectively operation of inserting characters, operation of deleting characters, operation of replacing characters with similar form or pronunciation, operation of replacing characters without similar form or pronunciation and operation of switching characters, weightings of different numerical value are set; selecting hot terms of preset numbers to conduct error correction prompt according to the weighted edit distance and hotness of the hot terms. According to the error correction method for search terms , error correction accuracy rate for the wrong search terms can be reduced.

The invention relates to a search engine-oriented error correction method and system of Chinese and English mixed querying. Based on an N-gram language model and a variety of error correction strategies, the method or system realizes error correction for the Chinese and English mixed querying with part of errors in a search engine.

The invention relates to a grammar error correction model training method and device, a grammar error correction method and device, computing equipment and a computer readable storage medium. The training method comprises the steps of performing data extension processing based on a first training set to obtain a second training set; obtaining a second source sample statement and a second target sample statement based on the second training set; inputting the second source sample statement into a grammar error correction model to generate an error correction sample statement; determining a lossvalue based on the error correction sample statement and the second target sample statement; and performing iterative training on the grammar error correction model based on the loss value until a training stop condition is met. By performing data enhancement processing on an existing training set, the purpose of automatically expanding the training set is achieved, and manual labor is effectively reduced.

The invention discloses a text error correction method and system in a power grid field scheduling scene, and the method comprises the steps: carrying out the word segmentation and named entity recognition of sentences in a text, and obtaining a word segmentation set and a named entity set; performing entity linking on the named entity set and a knowledge base to determine real information of entities; performing word boundary correction on the word segmentation set by using the named entity identification set to update the word segmentation set; adding pinyin features to each word in the wordsegmentation set to generate a new word segmentation set; inputting the new word segmentation set into a probability model to obtain the probability of occurrence of each word, and determining suspicious wrongly written characters according to the probability; obtaining a candidate set of the word from a pinyin dictionary according to the pinyin of the suspicious wrongly written character; substituting the candidate words in the candidate set into sentences one by one, regenerating features, substituting the features into the probability model, and determining the optimal candidate accordingto the probability. Suspicious wrongly written characters are positioned in combination with the probability model, so that the text error correction efficiency can be improved.

The invention provides a data error-check method and a device, as well as a disk playing method and playing device. The error-check method is used for checking the error of data accessed from a disk, comprising the steps as follow: the error-check information of one data block relative to the accessed data is obtained; the type of data error of the data flow unit from the data block is determined according to the error-check information; and whether the data flow unit is used for playing the disc is judged according to the type of data error and the preset reference type of data error. The error-check method also further comprises the steps as follow: the data which is used in the disc playing referred to the data flow unit is abandoned if the data flow unit is not kept. The invention further checks errors from the data through the error-check information of the abandoned data block in the prior art so as to eliminate the data error which can interrupt the playing of the disc.

The invention discloses an error correction model training method, in the scheme, an initial error correction model can be trained through a search word before error correction and a search word after error correction in target training data, and in the training process, a predicted search word is determined through an attention module, a coverage rate module and a gating module in the model. The final error correction model is obtained after training, and the error correction model is trained in this way, so that the error correction accuracy of the model can be improved, and the accidental injury rate of the model can be reduced; the invention further provides a search word error correction method, according to the scheme, error correction can be conducted on the original search word by means of the trained final error correction model, and the situation that the search quality is reduced due to errors existing in the original search word is avoided; the invention further discloses an electronic device and a storage medium which can also achieve the above technical effects.

The invention discloses a Chinese error correction method based on mutual information. The method comprises the following steps: obtaining a target short sentence to be corrected, performing word segmentation processing on the target short sentence, obtaining a word segmentation sequence, and determining a pinyin combination sequence corresponding to the word segmentation sequence , each pinyin combination in the pinyin combination sequence corresponds to each participle in the word segmentation sequence one by one, and based on the homophone words mapped by each pinyin combination in the pinyin combination sequence, the error correction word sequence set is obtained, and the error correction word sequence set is calculated. The mutual information of each error correction word sequence, according to the size of the mutual information, determines the error correction result of the target short sentence. By applying the technical solution provided by the embodiment of the present invention, the error correction of the target short sentence can be performed according to the frequency of words and the frequency of word collocation, and the accuracy rate of Chinese error correction can be improved. The invention also discloses a mutual information-based Chinese error correction device, a mutual information-based Chinese error correction device and a computer-readable storage medium with corresponding technical effects.

The invention relates to a correction system and method mainly used for a large-span gantry crane and particularly relates to an automatic correction system and method for traveling of a gantry crane. The automatic correction system comprises an encoder group, a programmable controller, a traveling motor for driving traveling mechanisms of rigid legs and flexible legs of the gantry crane and a frequency converter for controlling the traveling motor, wherein the encoder group is connected with the programmable controller, and the frequency converter is connected with the traveling motor. Therefore, the automatic correction system has the advantages that (1) the automation degree is high, and automatic correction can be realized without need of artificial intervention; (2) the error correction accuracy is high, the deviation degree can be accurately detected by utilizing the encoder group, the traveling motor is driven by the frequency converter to carry out accurate adjustment, simultaneously, the slipping phenomenon of the low-speed ends of traveling wheel groups can be found in time, and corresponding adjustment can be made; and (3) the application scope is wide, the deformation of a traveling track of a cart and the whole deflection of the cart can be judged and error operation can be prevented.

The invention discloses a data processing method and system, a storage medium and calculation equipment. The method comprises the steps that an original address text is obtained, and errors exist in the original address text; performing word segmentation processing on the original address text by utilizing the trained sequence labeling model to obtain an original first granularity geographic region and an original second granularity geographic region; processing the original first granularity geographic region by using a trained text generation model to obtain a target first granularity geographic region, the target first granularity geographic region being correct; and generating a target address text based on the target first granularity geographic region and the original second granularity geographic region. According to the data processing method and device, the technical problem that the processing accuracy is low if the address base does not contain the corresponding clean address text due to the fact that a data processing method in the related technology is achieved by searching the clean address text in the address base is solved.

The invention discloses a pinyin-based dialogue system text error correction system and a pinyin-based dialogue system text error correction method. According to the embodiment of the invention, afterabnormal information is detected in a dialogue system text based on pinyin, the abnormal information is matched with a set information list by adopting a set text fuzzy matching strategy (TFM), and then matched information is obtained; and similarity calculation is performed on the abnormal information and the obtained matched information through adoption of the set Pinyin-based text similarity algorithm (PTS) to obtain information with the highest similarity, and the abnormal information is corrected. According to the embodiments of the invention, the error correction accuracy is improved onthe basis of reducing the error correction cost.

The invention discloses a data error correction method and a device on a flash storage medium and relates to the field of data storage. The data error correction method and the device on the flash storage medium are used for improving error correcting accuracy of data on the flash storage medium. Metadata which correspond to user data are written into a physical main sector and a physical backup sector. When the user data is read, the metadata in the physical main sector and the physical backup sector can conduct automatic error correction processing, and the metadata obtained by the automatic error correction processing conduct error correction to the user data. The data error correction method and the device on the flash storage medium can improve error correction accuracy of the data on the flash storage medium.

Embodiments of the present application provide a text information processing method, device, storage medium, and electronic equipment. The method includes: performing word segmentation processing on the text recognition result to be corrected to obtain multiple text entries; identifying the text to be corrected Inputting the results into a search engine to obtain at least one search result; matching each text entry in the plurality of text entries with the search result to obtain a matching result of the text entry in the search result; splicing matching results corresponding to each text entry in the plurality of text entries to obtain a splicing result of each of the at least one search result, and a collection of each of the splicing results forms a candidate result set; The text recognition result to be corrected is matched with each splicing result in the candidate result set to determine the corrected text recognition result. In order to improve the accuracy of error correction of text recognition results.