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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 .
The name "11001001" is a binary number, a concatenation of the names of the Bynars (One One, Zero Zero, One Zero, and Zero One). The episode at one point was called "10101001". [ 2] It was originally intended that this episode would take place prior to "The Big Goodbye", with the Bynars' modifications causing the problems with the holodeck seen ...
In computing, binary translation is a form of binary recompilation where sequences of instructions are translated from a source instruction set to the target instruction set. In some cases such as instruction set simulation , the target instruction set may be the same as the source instruction set, providing testing and debugging features such ...
Complete sequence. In mathematics, a sequence of natural numbers is called a complete sequence if every positive integer can be expressed as a sum of values in the sequence, using each value at most once. For example, the sequence of powers of two (1, 2, 4, 8, ...), the basis of the binary numeral system, is a complete sequence; given any ...
Binary-to-text encoding formats. This category lists various binary-to-text encoding formats and standards.
^ The current default format is binary. ^ The "classic" format is plain text, and an XML format is also supported. ^ Theoretically possible due to abstraction, but no implementation is included. ^ The primary format is binary, but text and JSON formats are available. [8] [9]
yEnc is a binary-to-text encoding scheme for transferring binary files in messages on Usenet or via e-mail.It reduces the overhead over previous US-ASCII-based encoding methods by using an 8-bit encoding method. yEnc's overhead is often (if each byte value appears approximately with the same frequency on average) as little as 1–2%, [1] compared to 33–40% overhead for 6-bit encoding methods ...
Semantic parsing is the task of converting a natural language utterance to a logical form: a machine-understandable representation of its meaning. [1] Semantic parsing can thus be understood as extracting the precise meaning of an utterance. Applications of semantic parsing include machine translation, [2] question answering, [1] [3] ontology ...
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