Term Translation Extraction from Historical Classics Using Modern Chinese Explanation

  • Xiaoting Wu
  • Hanyu Zhao
  • Chao CheEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11221)


Extracting term translation pairs is of great help for Chinese historical classics translation since term translation is the most time-consuming and challenging part in the translation of historical classics. However, it is tough to recognize the terms directly from ancient Chinese due to the flexible syntactic of ancient Chinese and the word segmentation errors of ancient Chinese will lead to more errors in term translation extraction. Considering most of the terms in ancient Chinese are still reserved in modern Chinese and the terms in modern Chinese are more easily to be identified, we propose a term translation extracting method using multi-features based on character-based model to extract historical term translation pairs from modern Chinese-English corpora instead of ancient Chinese-English corpora. Specifically, we first employ character-based BiLSTM-CRF model to identify historical terms in modern Chinese without word segmentation, which avoids word segmentation error spreading to the term alignment. Then we extract English terms according to initial capitalization rules. At last, we align the English and Chinese terms based on co-occurrence frequency and transliteration feature. The experiment on Shiji demonstrates that the performance of the proposed method is far superior to the traditional method, which confirms the effectiveness of using modern Chinese as a substitute.


BiLSTM-CRF Co-occurrence frequency Transliteration features Term translation extraction 



This work is supported by the National Natural Science Foundation of China (No. 61402068) and Support Program of Outstanding Young Scholar in Liaoning Universities (No. LJQ2015004).


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© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Key Laboratory of Advanced Design and Intelligent Computing, Ministry of EducationDalian UniversityDalianChina

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