This paper presents a novel approach to machine translation by combining the
state of art name entity translation scheme. Improper translation of name
entities lapse the quality of machine translated output. In this work, name
entities are transliterated by using statistical rule based approach. This
paper describes the translation and transliteration of name entities from
English to Punjabi. We have experimented on four types of name entities which
are: Proper names, Location names, Organization names and miscellaneous.
Various rules for the purpose of syllabification have been constructed.
Transliteration of name entities is accomplished with the help of Probability
calculation. N-Gram probabilities for the extracted syllables have been
calculated using statistical machine translation toolkit MOSES.

本文通过将当前最先进的名词实体翻译方案与转音符号结合，引入了一个新的机器翻译方法。作者通过构建多种基于统计规则的音节分隔规则，借助概率计算得到一个英语到旁遮普语的名词实体翻译与转音符翻译系统，通过调用统计机器翻译工具 MOSES 提高了翻译质量。