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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.
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.
A universal translator is a device common to many science fiction works, especially on television. First described in Murray Leinster's 1945 novella "First Contact", the translator's purpose is to offer an instant translation of any language.
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface , a mobile app for Android and iOS , as well as an API that helps developers build browser extensions and software applications . [3]
Reverso is a French company specialized in AI-based language tools, translation aids, and language services. These include online translation based on neural machine translation (NMT), contextual dictionaries, online bilingual concordances, grammar and spell checking and conjugation tools.
Microsoft Translator is a cloud-based API that is integrated into numerous Microsoft products and services. The Translator API can be used on its own and can be customized for use in a pre-publishing or post-publishing environment.
This table lists all two-letter codes (set 1), one per language for ISO 639 macrolanguage, and some of the three-letter codes of the other sets, formerly parts 2 and 3.
Speedcoding programs are organized as a series of instructions, each of which are stored in memory as a single 72-bit data word. An instruction generally consists of two operations (OP 1 and OP 2 ) and 4 memory addresses.
Neural machine translation (NMT) is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.
This technique of interpretation requires the interpreter to listen to a speaker in a source (or passive) language and orally translate that speech into another language in real-time, that is, simultaneously, through headsets and microphones.