Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

176 results about "Word count" patented technology

The word count is the number of words in a document or passage of text. Word counting may be needed when a text is required to stay within certain numbers of words. This may particularly be the case in academia, legal proceedings, journalism and advertising. Word count is commonly used by translators to determine the price for the translation job. Word counts may also be used to calculate measures of readability and to measure typing and reading speeds (usually in words per minute). When converting character counts to words, a measure of 5 or 6 characters to a word is generally used for English.

System for determining degrees of similarity in email message information

Similarity of email message characteristics is used to detect bulk and spam email. A determination of “sameness” for purposes of both bulk and spam classifications can use any number and type of evaluation modules. Each module can include one or more rules, tests, processes, algorithms, or other functionality. For example, one type of module may be a word count of email message text. Another module can use a weighting factor based on groups of multiple words and their perceived meanings. In general, any type of module that performs a similarity analysis can be used. A preferred embodiment of the invention uses statistical analysis, such as Bayesian analysis, to measure the performance of different modules against a known standard, such as human manual matching. Modules that are performing worse than other modules can be valued less than modules having better performance. In this manner, a high degree of reliability can be achieved. To improve performance, if a message is determined to be the same as a previous message, the previous computations and results for that previous message can be re-used. Users can be provided with options to customize or regulate bulk and spam classification and subsequent actions on how to handle the classified email messages.
Owner:GOZOOM COM

Electronic mail message replay constraints

A method, article, and system for providing a sender of an electronic mail message (hereafter referred to as email) a means to specify to a recipient a reply length constraint for the text body of the reply message, as well as criteria for the size, number, and type of allowed attachments associated with the reply message. The sender specified reply length constraints for the text message body can be stated in terms of number of lines, number of sentences, and / or by word count. The sender reply attachment constraints can be specified in terms of number of attachment files, maximum size per attachment, and / or receiver supported file types. The method includes having the sender determine the desired reply message constraints or parameters prior to sending out a message, and appending the constraint parameters to the outgoing email. At a receiving terminal that supports the novel features of the present invention, the email will have additional marked text that may be highlighted, italicized, colorized, placed in boxes, etc. to alert the reader that the sender prefers the reply to be constrained within the specified limits. If the reply from the receiving terminal does not meet the specified constraints, the reply will not be sent and appropriate warning will be displayed to the reader. For a receiving terminal that does not support the novel features of the present invention, a simple text message will appear with the sender reply constraint parameters.
Owner:IBM CORP

System for determining degrees of similarity in email message information

Similarity of email message characteristics is used to detect bulk and spam email. A determination of “sameness” for purposes of both bulk and spam classifications can use any number and type of evaluation modules. Each module can include one or more rules, tests, processes, algorithms, or other functionality. For example, one type of module may be a word count of email message text. Another module can use a weighting factor based on groups of multiple words and their perceived meanings. In general, any type of module that performs a similarity analysis can be used. A preferred embodiment of the invention uses statistical analysis, such as Bayesian analysis, to measure the performance of different modules against a known standard, such as human manual matching. Modules that are performing worse than other modules can be valued less than modules having better performance. In this manner, a high degree of reliability can be achieved. To improve performance, if a message is determined to be the same as a previous message, the previous computations and results for that previous message can be re-used. Users can be provided with options to customize or regulate bulk and spam classification and subsequent actions on how to handle the classified email messages.
Owner:GOZOOM COM

SpaceFibre satellite-borne network service quality control system based on FPGA (Field Programmable Gate Array)

The invention discloses a SpaceFibre satellite-borne network service quality control system based on an FPGA (Field Programmable Gate Array), which comprises a multi-path virtual channel flow controlmodule and a single-path medium access controller, and is characterized in that the medium access controller is provided with a plurality of priority calculation modules and a scheduling module; a virtual channel flow control module which is used for receiving data of a virtual channel and generating a data sending request, and is also used for sending the data segment and the data word count value output by the buffer area to the media access controller when receiving a sending enable signal of the media access controller; a priority calculation module which is used for calculating the priority and sending the priority to the scheduling module; a scheduling module which is used for carrying out parallel sorting on the received priorities and selecting a scheduled virtual channel from allthe virtual channels according to a sorting result; transmitting and sending a data enabling signal to a virtual channel flow control module corresponding to the scheduled virtual channel; and outputting the number of the scheduled virtual channel and the data segment output by the buffer area of the corresponding virtual channel flow control module.
Owner:NAT SPACE SCI CENT CAS

Man-machine combined translation batch processing translation method containing artificial intelligence

The invention discloses a man-machine combined translation batch processing translation method containing artificial intelligence. The method comprises the following steps of 1, creating a translationitem; 2, uploading a file to be translated; 3, the system performing sentence segmentation analysis and extraction on the file and defines high-frequency words and terms; 4, locking the repeated sentences of the original text; 5, the system automatically translating the matched original text in a fuzzy manner according to the translation memory corpus; 6, the system calling machine translation totranslate the remaining original text according to the translation direction and specialty; 7, performing quality inspection on translations of fuzzy translation and machine translation; 8, manuallychecking and modifying the fuzzy translation and the machine translation on line; 9, conducting the quality inspection on the result of manual translation; and 10, counting related parameters such asmanual editing modification amplitude and word number, and generating a quality evaluation model report. The translation efficiency is improved, the translation quality is ensured, and the translationcost is reduced.
Owner:广州市汇泉翻译服务有限公司

Text sentence segmentation method and device, electronic device and storage medium

ActiveCN110705254AEfficient text segmentationAccurate text segmentationNatural language data processingPattern recognitionSentence segmentation
Embodiments of the invention provide a text sentence segmentation method and device, an electronic device and a storage medium. The method comprises the steps of determining a character feature vectorof each character in a text; inputting the character feature vector of each character into a sentence segmentation model to obtain a sentence segmentation probability of each character output by thesentence segmentation model; wherein the sentence segmentation model is obtained by training based on a sample word feature vector and a sentence segmentation identifier of a sample word in the sampletext; determining a plurality of candidate sentence segmentation results based on the sentence segmentation probability of each character; and determining a sentence segmentation result based on a preset word number threshold and the plurality of candidate sentence segmentation results. According to the method and device, the electronic device and the storage medium provided by the embodiment ofthe invention, the sentence segmentation result that the length of each clause is smaller than or equal to the preset word number threshold value is obtained while the local semantics are not cut off,so that efficient and accurate text sentence segmentation is realized, and the loss of labor cost and time cost is avoided.
Owner:IFLYTEK CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products