Method for improving digital translation quality based on post-processing technology
A translation quality and digital technology, applied in the field of machine translation, can solve problems such as unsatisfactory digital translation effects, and achieve the effect of small computer burden, fast operation speed and transparent structure
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example 1
[0049] Example 1: The result of a Chinese sentence after splitting using the subword segmentation method is as follows:
[0050] Before the split: the total number of processors reached 164
[0051] After splitting: the total number of processing @@ machines reaches 16@@4
[0052] As shown in Example 1, "handling machine" is an unregistered word in Chinese. Through the subword segmentation method, "handling machine" is split into "handling" and "machine", and the two "handling" and "machine" The part is precisely in the vocabulary, which can be translated accurately, so as to obtain the correct translation result of the "processor".
[0053] However, for the problem of digital translation, most numbers are also unregistered words, and complex numbers will be split into multiple subword units through subword segmentation, which cannot solve the problem of digital translation errors.
example 2
[0054] Example 2: The result of splitting a complex number using the subword segmentation method is as follows:
[0055] Before the split: 37.0687 million
[0056] After splitting: 3,@@70@@6.@@8@@7 million
[0057] Translation: 3@@7.@@0@@67million
[0058] Since complex numbers are split into multiple sub-word units, some sub-word units are often mistranslated during machine translation, resulting in low-quality digital translation.
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