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Word count is commonly used by translators to determine the price of a 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. [1]
Formerly ClarisWorks Word Processing, also an older and unrelated application for Apple II. Succeeded by iWork. Amí: Windows: developed and marketed by Samna: Apple Writer: Apple II, Apple III: SuperWriter: Apricot Portable: Built-in word processor in Apricot Computers devices Authorea: word processor for students and researchers AstroType ...
Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words.
This wiki template is to ease the use of text counting within Word Association Game. {{Wikipedia:Department of Fun/Word Count}} produces the following text: Word count is / as of word: . The parameters must be set, otherwise it produces a dull text.
Typewise have three products: a smartphone keyboard app, an AI writing assistant, and an API. Typewise writing assistant is a browser-based predictive text tool designed to increase the speed and quality of written communication, specifically for customer support and sales teams.
Microsoft Word is a word processing program developed by Microsoft.It was first released on October 25, 1983, [12] under the name Multi-Tool Word for Xenix systems. [13] [14] [15] Subsequent versions were later written for several other platforms including: IBM PCs running DOS (1983), Apple Macintosh running the Classic Mac OS (1985), AT&T UNIX PC (1985), Atari ST (1988), OS/2 (1989 ...
Abstractive summarization methods generate new text that did not exist in the original text. [12] This has been applied mainly for text. Abstractive methods build an internal semantic representation of the original content (often called a language model), and then use this representation to create a summary that is closer to what a human might express.
The dictionary contains 157,000 combinations and derivatives, and 169,000 phrases and combinations, making a total of over 600,000 word-forms. [41] [42] There is one count that puts the English vocabulary at about 1 million words—but that count presumably includes words such as Latin species names, prefixed and suffixed words, scientific ...
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