Machine translation method and device, electronic equipment and medium

Abstract

The embodiment of the invention discloses a machine translation method and device, electronic equipment and a medium. The method comprises the steps that a to-be-translated source language sentence isacquired; wherein a pre-trained machine translation model is used for giving a target language translation result of the source language sentence and a category to which the source language sentencebelongs at the same time, the category comprises coarse classification and fine classification under the coarse classification, and the machine translation model is used for giving the target languagetranslation result in combination with a classification task of the source language sentence. According to the embodiment of the invention, the trouble of manually selecting the field by a user is avoided; meanwhile, a classification task and a translation task are executed; coarse classification and fine classification to which the coarse classification belongs are given in the classification task. Compared with the prior art, the method has the advantages that each field is classified in the same dimension instead of in the same dimension, so that the model is more targeted in a category classification stage, categories and fields described by source language sentences can be automatically identified, meanwhile, translation content boundaries responsible for each field are clearer, andthe translation effect is improved.

Description

technical field

[0001] Embodiments of the present invention relate to the technical field of machine translation, and in particular, to a machine translation method, device, electronic equipment, and medium. Background technique

[0002] With the improvement of computer computing power and the explosive growth of multilingual information, machine translation plays an important role in today's translation field. It has the advantages of high speed and low cost, and can provide real-time and convenient translation services for ordinary users.

[0003] In machine translation, for texts in professional fields, training translation models in different fields can greatly improve the translation effect in the corresponding fields. At present, some Internet translation systems have improved the translation effect by introducing domain information and optimizing data and models for each domain. However, the classification of these fields is relatively random and unsystematic. Dividi...

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