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Text normalization is the process of transforming text into a single canonical form that it might not have had before. Normalizing text before storing or processing it allows for separation of concerns, since input is guaranteed to be consistent before operations are performed on it. Text normalization requires being aware of what type of text ...
A binary-to-text encoding is encoding of data in plain text. More precisely, it is an encoding of binary data in a sequence of printable characters . These encodings are necessary for transmission of data when the communication channel does not allow binary data (such as email or NNTP ) or is not 8-bit clean .
To convert a grammar to Chomsky normal form, a sequence of simple transformations is applied in a certain order; this is described in most textbooks on automata theory. [4]: 87–94 [5] [6] [7] The presentation here follows Hopcroft, Ullman (1979), but is adapted to use the transformation names from Lange, Leiß (2009).
Unlike rotating text 180 degrees, the number of sideways characters falls far short of what would be needed for most purposes, and because text is rendered horizontally, it would be very difficult to render beyond one line of vertical text in a well-aligned manner without columns, especially in proportional fonts (furthermore, each character ...
Regular expressions and nondeterministic finite automata are two representations of formal languages. For instance, text processing utilities use regular expressions to describe advanced search patterns, but NFAs are better suited for execution on a computer.
All documentation (from Module:Convert/doc) is at that module. The text includes messages and categories output by the module, and parameters used as input. This is a separate module to simplify translation for use on another wiki. For example, see translation_table and the other tables in bn:Module:Convert/text.
All documentation (from Module:Convert/doc) is at that module. The text includes messages and categories output by the module, and parameters used as input. This is a separate module to simplify translation for use on another wiki. For example, see translation_table and the other tables in bn:Module:Convert/text.
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 ...