FIELD: machine learning.
SUBSTANCE: group of inventions relates to the field of machine learning; it can be used for translation between a rare language and a target language. The method contains stages of: obtainment by a server of a certain real example having the first sentence on one language of a group of languages and the corresponding second sentence on the target language, which is a real translation of the first sentence; generation by the server applying a transliteration function of the first synthetic sentence, thereby generating a synthetic real example having the first synthetic sentence and the corresponding second sentence; obtainment by the server of the third sentence on the target language; generation by the server of the fourth sentence on the rear language for the third sentence, using back translation, wherein the fourth sentence and the third sentence form a certain artificial example; generation by the server applying the transliteration function of the fourth synthetic sentence based on the fourth sentence for the mentioned certain artificial example, thereby generating a synthetic artificial example having the fourth synthetic sentence and the third sentence; training by the server of a translation model based on the synthetic real example and the synthetic artificial example.
EFFECT: increase in the quality of translation from a rear language to a target language.
22 cl, 8 dwg
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Authors
Dates
2023-02-14—Published
2020-12-22—Filed