跨语言命名实体翻译对抽取的研究综述

跨语言命名实体对于机器翻译、跨语言信息抽取都具有重要意义,从命名实体的音译、基于平行/可比语料库的跨语言命名实体对齐、基于网络挖掘的跨语言命名实体对翻译抽取3个方面对跨语言命名实体翻译对抽取的研究现状进行了总结。音译是跨语言命名实体翻译对抽取的重点内容之一,基于深度学习的音译模型将是今后的研究重点。目前,跨语言平行/可比语料库的获取和标注直接影响基于语料库的跨语言命名实体对齐的深入研究。基于信息检索和维基百科的跨语言命名实体翻译对抽取研究将是跨语言命名实体翻译对抽取研究的趋势。

Survey on Cross-language Named Entity Translation Pairs Extraction

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.