Acquisition system suitable for machine learning

Abstract

The invention discloses a collection system suitable for machine learning, comprising: a translation database for storing translated texts and translations corresponding to the translated texts; a comparison module for selecting the translated texts most similar to sample texts in the translation database; and publishing sample texts publicly The open platform for the translation of the original text that is most similar to the sample original text selected by the comparison module; the open platform also publicly solicits sample translations corresponding to the sample original text and translations corresponding to the original translation; the same applicant must complete a sample translation and a translation; The comparison module also extracts sample translations and translated translations completed by the same candidate at the same time, and compares the translated translations with those in the translation database. The collection system of the present invention is suitable for machine learning. Since the translated original text is similar to the sample original text, it can be considered that the candidate can effectively complete the translation of the sample original text, thereby ensuring the quality of the translation sample, which is very suitable for machine learning.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to an acquisition system suitable for machine learning. Background technique [0002] Machine translation, also known as automatic translation, is the process of using a computer to convert one natural language (source language) into another natural language (target language). It is a branch of computational linguistics, one of the ultimate goals of artificial intelligence, and has important scientific research value. At the same time, machine translation has important practical value. With the rapid development of economic globalization and the Internet, machine translation technology plays an increasingly important role in promoting political, economic, and cultural exchanges. [0003] Although machine translation can achieve a good level of translation through machine learning, machine learning requires a large number of translation samples, and obtaining a large number of tr...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the existing machine learning requires a large number of translation samples, and obtaining a large number of translation samples requires high labor costs, and the quality of the obtained translation samples is uneven, which is not suitable for machine learning. A collection system based on machine learning to solve the above problems

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