Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 14-18.doi: 10.11896/j.issn.1002-137X.2017.6A.003

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Survey on Cross-language Named Entity Translation Pairs Extraction

WANG Zhi-juan and LI Fu-xian   

  • Online:2017-12-01 Published:2018-12-01

Abstract: Cross-language named entity translation pairs are very important for machine translation,cross-language information retrial and so on.We made a survey on cross-language named entity translation pair extraction in three aspects.Firstly,transliteration is vital for cross-language named entity translation pair extraction.Rules,machine learning and deep learning are used in many languages named entity translation.The performance of transliteration model based on deep learning is excellent and it will be the key method in future studies.Secondly,named entity alignment based on parallel/comparable corpus is a useful method to get cross-language named entity translation pairs.The constructing and annotation of cross-language corpus are bottle necks for research on named entity alignment based on parallel/comparable corpus.Thirdly,cross-language named entity translation pairs can be extracted by Web mining.Cross-language named entity extraction based on cross-language information retail and knowledge base such as Wikipedia will be the trend in the future.

Key words: Named entity translation pairs,Transliteration,Named entity alignment,Web mining

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