179 results about "Word count" patented technology

Output documents similar to an input document are identified. A query is formulated using a list of best keywords from the input document to search for a first set of output documents. The list of best keywords is defined with a maximum number of keywords less than the total number of keywords in the list of best keywords that are identified as belonging to a domain specific dictionary of words and as having no measurable linguistic frequency. Lists of keywords are identified for each output document in the first set of documents. A second set of similar documents is determined using a measure of similarity that is computed between keywords identified in the input document and each output document in the first set of documents.

A probabilistic clustering system is defined at least in part by probabilistic model parameters indicative of word counts, ratios, or frequencies characterizing classes of the clustering system. An association of one or more documents in the probabilistic clustering system is changed from one or more source classes to one or more destination classes. Probabilistic model parameters characterizing classes affected by the changed association are locally updated without updating probabilistic model parameters characterizing classes not affected by the changed association.

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.

A probabilistic clustering system is defined at least in part by probabilistic model parameters indicative of word counts, ratios, or frequencies characterizing classes of the clustering system. An association of one or more documents in the probabilistic clustering system is changed from one or more source classes to one or more destination classes. Probabilistic model parameters characterizing classes affected by the changed association are locally updated without updating probabilistic model parameters characterizing classes not affected by the changed association.

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.

A method, article and apparatus for calculating a measure of similarity between names is disclosed. Generally, name elements from an inbound name may be matched to name elements in a candidate matching name. A measure of similarity for the inbound name and candidate matching name may be calculated based on the number of matching name elements, an inbound name word count, a candidate name word count, and the number of transpositions that occur in matching name elements with one another.

A system and method for measuring data transmission activity through a port of a switch device interconnecting nodes of a storage area network, the port transmitting data as words of predetermined length, one data word indicating idle port activity. The method includes steps of: counting a number of transmitted words received from the port in a first counter device; and, for each word counted, comparing that word with a predetermined word indicating no (idle) port transmission activity. In response to the comparing, a number of matches are counted in a second counter device. In this manner, a ratio of a number of counted matches with a total amount of words counted indicates available bandwidth for transmitting additional data over that link. Preferably, this value is communicated to a processor device for controlling bandwidth over the link.

A system and method for measuring data transmission activity through a port of a switch device interconnecting nodes of a storage area network, the port transmitting data as words of predetermined length, one data word indicating idle port activity. The method includes steps of: counting a number of transmitted words received from the port in a first counter device; and, for each word counted, comparing that word with a predetermined word indicating no (idle) port transmission activity. In response to the comparing, a number of matches are counted in a second counter device. In this manner, a ratio of a number of counted matches with a total amount of words counted indicates available bandwidth for transmitting additional data over that link. Preferably, this value is communicated to a processor device for controlling bandwidth over the link.

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.

The invention belongs to the technical field of natural language processing, and particularly provides a text corpus expansion method which is used for overcoming the defects of an existing text enhancement method in sentence pattern diversity and semantic fidelity of corpus generation. According to the method, a word replacement method and a translation method are combined, and the defects causedby combined use of the two methods are overcome; firstly, synonym hash tables, input sentences and the like are subjected to standardization processing, and meanwhile, a strategy of performing one-way replacement in the direction that the number of words is not reduced is adopted in word replacement, so that the influence of words with wrongly written characters and spoken words on the back-translation effect is reduced; in addition, by introducing masking translation, the problem of inaccurate translation of the professional noun by a translation method is improved; the corpus generated by the method gives consideration to sentence pattern diversity and semantic fidelity, and is particularly suitable for text corpus expansion application under the condition that the initial corpus is insufficient.

The embodiment of the invention relates to the field of natural language processing, and discloses a document retrieval method and device and a computer readable storage medium. The document retrievalmethod comprises the steps of acquiring candidate documents, wherein the candidate documents are determined by query statements input by a user, judging whether the text word number of the candidatedocument is smaller than or equal to a preset word number or not, if not, segmenting the candidate document into a plurality of sentences, calculating the similarity between each sentence in the plurality of sentences and the query sentence, deleting a part of sentences in the plurality of sentences according to the similarity until the total word number of the remaining sentences is smaller thanor equal to the preset word number, and inputting the remaining sentences and the query statement into a preset machine reading model to obtain an answer of the query statement. According to the document retrieval method and device and the computer readable storage medium provided by the invention, the reading difficulty of the machine reading model can be reduced, and meanwhile, the document retrieval accuracy is improved.

A phase-change memory device performs a buffer program operation in response to a buffer program command sequence. The phase-change memory device includes a page buffer unit configured to store a plurality of input data corresponding to a word count value of a buffer program command sequence and selectively output the stored input data in response to a selection signal, and a page buffer control unit configured to generate the selection signal determined by counting a value representing the word count value.