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A series of small English words is easier for humans to read, remember, and type in than decimal or other binary-to-text encoding systems. [12] Each 64-bit number is mapped to six short words, of one to four characters each, from a public 2048-word dictionary. [11]
However, some file signatures can be recognizable when interpreted as text. In the table below, the column "ISO 8859-1" shows how the file signature appears when interpreted as text in the common ISO 8859-1 encoding, with unprintable characters represented as the control code abbreviation or symbol, or codepage 1252 character where available ...
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]
This led to the idea that text in Chinese and other languages would take more space in UTF-8. However, text is only larger if there are more of these code points than 1-byte ASCII code points, and this rarely happens in the real-world documents due to spaces, newlines, digits, punctuation, English words, and (depending on document format) markup.
When an RTF file containing mostly Latin characters without diacritics is viewed as a plain text file, the underlying ASCII text is readable, provided that the author has kept formatting concise. When RTF was released, most word processors used binary file formats; Microsoft Word, for example, used the .DOC file format.
The last code point in Unicode is the last code point in plane 16, U+10FFFF. As of Unicode version 16.0, five of the planes have assigned code points (characters), and seven are named. The limit of 17 planes is due to UTF-16, which can encode 2 20 code points (16 planes) as pairs of words, plus the BMP as a single word. [2]
Video of the process of scanning and real-time optical character recognition (OCR) with a portable scanner. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene photo (for example the text on signs and ...
T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [ 1 ] [ 2 ] Like the original Transformer model, [ 3 ] T5 models are encoder-decoder Transformers , where the encoder processes the input text, and the decoder generates the output text.
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