The embodiment of the invention provides a machine translation model training method and device and electronic equipment. The machine translation model training method comprises the steps: employing afirst parallel corpus, and carrying out preliminary training on a translation model from a target end to a source end; utilizing the trained translation model from the target end to the source end totranslate each sentence in a definite monolingual corpus to obtain a synthetic corpus, and splicing the synthetic corpus with the definite monolingual corpus to obtain a second parallel corpus; evaluating the credibility of a translation result obtained by using the trained translation model from the target end to the source end by using a Monte-Carlo random inactivation algorithm; and based on the credibility, training a translation model from a source end to a target end by utilizing an integral corpus formed by the first parallel corpus and the second parallel corpus. According to the embodiment of the invention, the translation model can still be accurately trained in the presence of noise interference, and the accuracy of the translation model is ensured.