本文提出了一种新颖的方法，综合利用音译和网络挖掘来提高命名实体翻译的效果。
This paper presents a novel approach to improve the named entity translation by combining transliteration with web mining.
命名实体、术语的翻译对自然语言处理，机器翻译性能的影响越来越重要。
The translation of named entities and terms plays a critical role in many NLP applications such as machine translation.
组织机构名等命名实体的识别是信息抽取、机器翻译等任务的重要基础。
The recognition of organization names is one of the fundamental tasks in Information Extraction and Machine Translation.
组织机构名等命名实体的识别是信息抽取、机器翻译等任务的重要基础。
The recognition of organization names is one of the fundamental tasks in Information Extraction and Machine Translation.
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