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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]
Languages that show number inflection for a large enough corpus of nouns or allow them to combine directly with singular and plural numerals can be described as non-classifier languages. On the other hand, there are languages that obligatorily require a counter word or the so-called classifier for all nouns. For example, the category of number ...
Google Docs is an online word processor and part of the free, web-based Google Docs Editors suite offered by Google.Google Docs is accessible via a web browser as a web-based application and is also available as a mobile app on Android and iOS and as a desktop application on Google's ChromeOS.
Essay Counter-essay Shortcut Description Shortcut Description WP:BLUE: Not everything needs to be referenced WP:NOTBLUE: Err on the side of over-referencing WP:MANDY: When someone is accused of unsavory allegations, no need to report their denial, as it would be obvious. WP: NOTMANDY: Include the denial WP:DFTT: Don't feed the trolls WP:YMFTT
Word count What to do > 15,000 words: Almost certainly should be divided or trimmed. > 9,000 words: Probably should be divided or trimmed, though the scope of a topic can sometimes justify the added reading material. > 8,000 words: May need to be divided or trimmed; likelihood goes up with size. < 6,000 words
Categories/Topics: Personal essays, memoirs manuscripts and feature stories of interest to the writing community hands working on a laptop at home Get Paid to Write Using Freelance Websites
Latent semantic analysis (LSA) is a technique in natural language processing, in particular distributional semantics, of analyzing relationships between a set of documents and the terms they contain by producing a set of concepts related to the documents and terms. LSA assumes that words that are close in meaning will occur in similar pieces of ...
which shows which documents contain which terms and how many times they appear. Note that, unlike representing a document as just a token-count list, the document-term matrix includes all terms in the corpus (i.e. the corpus vocabulary), which is why there are zero-counts for terms in the corpus which do not also occur in a specific document.
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