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.
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