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Multi-document summarization is an automatic procedure aimed at extraction of information from multiple texts written about the same topic. The resulting summary report allows individual users, such as professional information consumers, to quickly familiarize themselves with information contained in a large cluster of documents.
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.
Users can use the tool to paraphrase text being composed on services like Gmail, Google Docs, Facebook, Twitter, and LinkedIn. [ 10 ] On November 14, 2021, AI21 released Wordtune Read — an AI-powered Chrome extension and standalone app designed to process large amounts of written text from websites, documents, or YouTube videos, and summarize ...
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]
The maximum limit for Wikipedia is via the MediaWiki software's wgMaxArticleSize to 2 MiB (specifically, 2048 kibibytes or 2,097,152 bytes). Exceeding the post-expand limit will result in templates in the article appearing incorrectly.
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The app is designed to "shut down your inner editor and get you into a state of flow", [3] referring to the psychological concept of being in a flow state. Users start a writing session by choosing a time or word limit, [4] and can only save or download their work if they complete the set limit without interruption.
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