An ancient Chinese automatic translation method based on multi-feature fusion

Abstract

The invention discloses an ancient Chinese automatic translation method based on multi-feature fusion. The method comprises the following steps: 1) collecting a text, modern text translation data of the text, a text word list and modern Chinese monolingual corpus data; And 2) cleaning the data and constructing an ancient Chinese parallel corpus by using a sentence alignment method. And 3) carryingout word segmentation on the modern text and the ancient text by using a Chinese word segmentation tool; 4) performing topic modeling on the ancient text corpus to generate topics-Word distribution and word-Subject conditional probability distribution 5) using the modern Chinese monolingual corpus to train to obtain a modern Chinese language model; And obtaining an aligned dictionary by using ancient Chinese parallel corpora. 6) on the basis of the attention-based recurrent neural network translation model, fusing statistical machine translation characteristics such as a language model and analignment dictionary, and using an ancient Chinese parallel sentence pair and a word topic sequence training model, and 7) inputting a to-be-translated text by a user, and obtaining a modern text translation by using the model obtained by training in the step 6).

Description

technical field [0001] The invention relates to the fields of topic model, language model and machine translation in the field of natural language processing, in particular to a multi-feature fusion automatic translation method of ancient and modern Chinese. Background technique [0002] China has a long history and has left behind a voluminous volume of ancient books. These ancient books have witnessed the history of Chinese civilization, recorded and inherited rich historical and cultural connotations. However, ancient books are generally written in classical Chinese, which is relatively concise and quite different from the vernacular we use today, making it difficult for ordinary people to understand. For this reason, scholars of ancient Chinese began to translate classics and ancient books, but only relying on a small number of scholars cannot complete the translation of all ancient books. [0003] Machine translation (Machine Translation, MT) is the use of computers to...

AI Technical Summary

Problems solved by technology

However, statistical machine translation requires preprocessing such as word alignment, phrase extraction, and syntactic analysis. Errors in each link will gradually accumulate and affect subsequent translation quality.

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