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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 .
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]
Document AI combines text data, which has a time dimension, with other types of data, such as the position of an address in a business letter, which is spatial. Historically in machine learning spatial data was analyzed using a convolutional neural network , and temporal data using a recurrent neural network .
The inverse document frequency is a measure of how much information the word provides, i.e., how common or rare it is across all documents. It is the logarithmically scaled inverse fraction of the documents that contain the word (obtained by dividing the total number of documents by the number of documents containing the term, and then taking ...
In software, a spell checker (or spelling checker or spell check) is a software feature that checks for misspellings in a text. Spell-checking features are often embedded in software or services, such as a word processor , email client , electronic dictionary , or search engine .
Google Docs Editors is a web-based productivity office suite offered by Google within its Google Drive service. The suite includes: Google Docs (word processor) Google Sheets (spreadsheet) Google Slides (presentation software), Google Drawings (vector drawing program) Google Forms (online forms, quizzes and surveys) Google Sites (graphical ...
The cut-up technique (or découpé in French) is an aleatory narrative technique in which a written text is cut up and rearranged to create a new text. The concept can be traced to the Dadaists of the 1920s, but it was developed and popularized in the 1950s and early 1960s, especially by writer William Burroughs .
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.