Translation evaluation method and device, storage medium and electronic equipment

Abstract

The invention provides a translation evaluation method and device, a storage medium and electronic equipment. The method comprises the steps: obtaining an original text of a source language and a translation text, inputted by a user, of a target language; generating a plurality of reference texts of the target language according to the original text; determining a multivariate similarity value between the translation text and the reference text, and taking the reference text corresponding to the maximum multivariate similarity value as an effective reference text; and extracting feature information of the translation text, taking the feature information as input of a preset evaluation model, and determining an evaluation value of the translation text based on the evaluation model. According to the translation evaluation method and device, the storage medium and the electronic equipment provided by the embodiment of the invention, the similarity between the translation text and the reference text can be more accurately determined based on the multivariate similarity value; the translation text input by the user is evaluated through a plurality of reference texts, and the evaluationresult can be more accurate.

Description

technical field [0001] The present invention relates to the technical field of translation evaluation, in particular, to a translation evaluation method, device, storage medium and electronic equipment. Background technique [0002] At present, some language teaching applications can evaluate and score the translated text or pronunciation input by the user, and can give the user an intuitive score feedback to help the user locate the weak position as soon as possible. [0003] The traditional scoring method generally scores by comparing the keywords entered by the user with the standard sentences. However, due to the complexity and diversity of translation from the source language to the target language, and various translation methods, the results of the traditional scoring method may not be accurate. , that is, even if the user's translation result is very good, it may be rated as a low score, resulting in an error in the scoring result. Contents of the invention [000...

AI Technical Summary

Problems solved by technology

[0003]The traditional scoring method is generally to score by comparing the keywords entered by the user with the standard sentences. However, due to the complexity and diversity of translation from source language to target language, There are various translation methods, which lead to the result of the traditional scoring method is not necessarily accurate, that is, even if the user's translation result is very good, it may be rated as a low score, resulting in wrong scoring results

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