Mongolian and Chinese inter-translation method based on reinforced learning

Abstract

Nerve machine translation (NMT) of a coder-decoder architecture realizes an optimal result on current standard machine translation standards, but a lot of parallel corpus data are needed for traininga model; for the field of minority language translation, insufficient bilingual alignment corpus is a common problem, and resources are rare, so that the invention provides a Mongolian and Chinese inter-translation method based on reinforced learning. A system receives a Mongolian sentence and translates the same to generate a Chinese sentence, and a scalar score is acquired as feedback. Reinforced learning technology is utilized for effective learning from the feedback. Defining a mathematical framework of a solution in reinforced learning is called the Markov decision-making process. It is aimed to find a strategy to maximize expected translation quality. During training, if a certain behavior strategy causes a big environment reward, tendency of generating this behavior strategy in thefuture is about to be reinforced, and an optimal strategy is found finally to maximize expected discount reward sum and improve translation quality.

Description

technical field [0001] The invention belongs to the technical field of machine learning, in particular to a Mongolian-Chinese bilingual translation method based on reinforcement learning. Background technique [0002] With the widespread application of the Internet, the acceleration of the process of world economic integration and the increasing frequency of international exchanges, machine translation technology plays an increasingly important role in promoting political, economic, and cultural exchanges. [0003] Under the background of my country's rapid economic development and continuous social progress, the communication between Mongolians and Han people is becoming more and more frequent, and Mongolian is the main language used by Mongolian compatriots in my country, and Mongolian is the official language of Mongolia, so Mongolian The study of Chinese machine translation is of great significance for the mutual penetration of the values ​​of the two cultures, the cohesi...

AI Technical Summary

Problems solved by technology

However, in the field of minority language translation, such translation tasks generally face difficulties such as insufficient bilingual alignment corpus, scarce resources, short translation research time, and few achievements.

Moreover, the acquisition cost of the parallel corpus is very high, and corresponding professional knowledge is required

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