The invention discloses a binary quantization translation model generation method, a
machine translation method and related equipment, and the generation method comprises the steps: collecting sample data of multiple languages, and constructing a plurality of bilingual
sentence pairs according to the sample data of the multiple languages, each bilingual
sentence pair comprising two mutually translated
sentence texts; the bilingual sentence pairs serve as training samples, a pre-trained original translation model and a pre-trained compression translation model are trained through knowledge
distillation, and the compression translation model is obtained by conducting binary quantization
processing on the original translation model; and taking the trained compression translation model as a binary quantization translation model capable of being deployed to edge equipment, wherein the binary quantization translation model is used for converting a given source language statement into a target language statement. The scale of the translation model is effectively reduced through binary quantization, the model is trained through knowledge
distillation, and the binary quantization translation model which can adapt to edge equipment configuration and is good in translation performance is obtained, so that the translation model can be successfully deployed at an
edge computing end, and the translation efficiency is improved.