DirecTL: a Language Independent Approach to Transliteration

Sittichai Jiampojamarn, Aditya Bhargava, Qing Dou, Kenneth Dwyer, Grzegorz Kondrak
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引用次数: 46

Abstract

We present DirecTL: an online discriminative sequence prediction model that employs a many-to-many alignment between target and source. Our system incorporates input segmentation, target character prediction, and sequence modeling in a unified dynamic programming framework. Experimental results suggest that DirecTL is able to independently discover many of the language-specific regularities in the training data.
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直接:独立于语言的音译方法
我们提出了DirecTL:一种利用目标和源之间多对多比对的在线判别序列预测模型。我们的系统在统一的动态规划框架中集成了输入分割、目标字符预测和序列建模。实验结果表明,DirecTL能够独立地发现训练数据中许多特定于语言的规律。
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Report of NEWS 2016 Machine Transliteration Shared Task Transliteration by Bidirectional Statistical Machine Translation Analysis and Robust Extraction of Changing Named Entities NEWS 2009 Machine Transliteration Shared Task System Description: Transliteration with Letter-to-Phoneme Technology Phonological Context Approximation and Homophone Treatment for NEWS 2009 English-Chinese Transliteration Shared Task
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