Method, device and storage medium for training machine translation model

A device for training a machine translation model, comprising:

• a processor;
• and
• memory storing instructions executable by the processor,
• wherein when the instructions are executed by the processor, the processor is configured to:
• acquire a bidirectional translation model to be trained and training data, the training data comprising a source corpus and a target corpus corresponding to the source corpus;
• train the bidirectional translation model for N cycles, each cycle of training comprising a forward translation process of translating the source corpus into a pseudo target corpus and a reverse translation process of translating the pseudo target corpus into a pseudo source corpus and N being a positive integer greater than 1;
• acquire a forward translation similarity and a reverse translation similarity, the forward translation similarity being a similarity between the target corpus and the phony target corpus and the reverse translation similarity being a similarity between the source corpus and the phony source corpus;
• and
• when a sum of the forward translation similarity and the reverse translation similarity converges, determine that training of the bidirectional translation model is completed.

A non-transitory computer-readable storage medium having instructions stored therein for execution by one or more processors of a terminal to enable the terminal to execute a method for training machine translation model, the method comprising:

• acquiring a bidirectional translation model to be trained and training data, the training data comprising a source corpus and a target corpus corresponding to the source corpus;
• training the bidirectional translation model for N cycles, each cycle of training comprising a forward translation process of translating the source corpus into a pseudo target corpus and a reverse translation process of translating the pseudo target corpus into a pseudo source corpus and N being a positive integer greater than 1;
• acquiring a forward translation similarity and a reverse translation similarity, the forward translation similarity being a similarity between the target corpus and the pseudo target corpus and the reverse translation similarity being a similarity between the source corpus and the pseudo source corpus;
• and
• when a sum of the forward translation similarity and the reverse translation similarity converges, determining that training of the bidirectional translation model is completed.