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Machine translation, like DeepL or Google Translate, is a useful starting point for translations, but translators must revise errors as necessary and confirm that the translation is accurate, rather than simply copy-pasting machine-translated text into the English Wikipedia. Do not translate text that appears unreliable or low-quality.
A translator or programming language processor is a computer program that converts the programming instructions written in human convenient form into machine language codes that the computers understand and process. It is a generic term that can refer to a compiler, assembler, or interpreter —anything that converts code from one computer ...
Binary translation. 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 ...
Currently, call center workers have to simultaneously listen to the call and manually look up the code, Maduros said. “If it turns out it doesn't serve the public better, then we're out $1 ...
Material: vellum: Size: ≈ 23.5 cm × 16.2 cm × 5 cm (9.3 in × 6.4 in × 2.0 in) Format: One column in the page body, with slightly indented right margin and with paragraph divisions, and often with stars in the left margin; the rest of the manuscript appears in the form of graphics (i.e. diagrams or markings for certain parts related to illustrations), containing some foldable parts
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An intermediate representation ( IR) is the data structure or code used internally by a compiler or virtual machine to represent source code. An IR is designed to be conducive to further processing, such as optimization and translation. [1] A "good" IR must be accurate – capable of representing the source code without loss of information [2 ...
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Google Neural Machine Translation (GNMT) was a neural machine translation (NMT) system developed by Google and introduced in November 2016 that used an artificial neural network to increase fluency and accuracy in Google Translate.
The speedcoding system was an interpreter and focused on ease of use at the expense of system resources. It provided pseudo-instructions for common mathematical functions: logarithms, exponentiation, and trigonometric operations. The resident software analyzed pseudo-instructions one by one and called the appropriate subroutine. Speedcoding was ...