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What is NIST for machine translation?

NIST is a method for evaluating the quality of text which has been translated using machine translation. Its name comes from the US National Institute of Standards and Technology. It is based on the BLEU metric, but with some alterations.

Which is typically used for machine translation?

Google AutoML and Microsoft Custom Translator are 2 commonly used solutions for custom machine translation. If implemented well, custom MT can deliver output with notably higher quality than generic MT. Nevertheless, machine translation customization requires a certain skill and effort.

What does NIST stand for?

National Institute of Standards and Technology.

What are the three major approaches of machine translation?

There are three main types of machine translation which employ different techniques and principles to translate text: Rule-Based Machine Translation (RBMT) Statistical Machine Translation (SMT) Neural Machine Translation (NMT)

What is the difference between MT and NMT?

Unlike standard MT, NMT builds a single neural network that can be jointly turned to maximize the translation quality. NMT uses whats called deep learning to build an artificial neural network, whereas MT uses glossaries etc. to train the MT engine. Unlike MT which runs on CPUs, NMT runs on GPUs.