Multi-translation parallel corpus construction system

Abstract

The present invention provides a multi-translation parallel corpus construction system. The system comprises: a depth semantic similarity-degree calculator, used for separately calculating a depth semantic similarity degree between a source language text sentence and a to-be-matched sentence of each translation among multiple translations; a representative dictionary similarity-degree and other statistical information similarity-degree calculator; a fusion matching-degree calculator, used for calculating a fusion matching degree between the source language text sentence and the to-be-matched sentence of each translation among the multiple translations; a sentence matching apparatus, used for performing sentence matching on a source language text and each translation according to the fusion matching degree, wherein fusion matching degrees between the source language text and other translations among the multiple translations are referred to during matching; and a multi-translation parallel corpus construction apparatus, used for constructing a multi-translation parallel corpus according to a matching result. The technical scheme above implements construction of the multi-translation parallel corpus and improves precision of corpus alignment, and the multi-translation parallel corpus constructed by the scheme has robustness.

Description

technical field [0001] The invention relates to the technical field of corpus construction, in particular to a system for constructing a multi-translation parallel corpus. Background technique [0002] With the rapid development of the Internet, the explosive growth of network data and texts has been brought about. The vigorous development of the Internet has brought a wealth of multilingual information. With the help of this rich multilingual information, a better machine translation system can be built. Manual translation is time-consuming and costly, and it can no longer meet people's growing demand for multilingual information. Machine translation can automatically translate one natural language into another natural language. It has become an inevitable trend to use machine translation to quickly obtain multilingual information and resources. This makes machine translation systems and equipment that can provide multilingual, high-quality, and accessible translation ser...

AI Technical Summary

Problems solved by technology

At the same time, the alignment of existing parallel corpus corpora is not precise. For automatic alignment, some use statistical methods, and some use sentence sorting methods, such as sorting the sentence pairs in the parallel corpus according to certain criteria, so that better sentence pairs After sorting, it is at the front end of the corpus; after that, you can manually proofread the sentence pairs at the back end, or delete these sentence pairs directly

The current parallel corpus corpus cannot achieve multi-translation alignment

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