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wEBMT: Developing and Validating an Example-Based Machine Translation System Using the World Wide Web
Example-Based Machine Translation System
2015/8/28
We have developed an example-based machine translation (EBMT) system that uses the World
Wide Web for two different purposes: First, we populate the system’s memory with translations
gathered from r...
Stanford University’s Arabic-to-English Statistical Machine Translation System for the 2009 NIST MT Open Evaluation
Stanford University Arabic-to-English Statistical Machine Translation System the 2009 NIST MT Open
2015/6/12
This document describes Stanford University’s first entry into a NIST Arabic-English MT evaluation. We describe two main improvements over a previous Chinese-English submission (Galley et al., 2008): ...
Positive Diversity Tuning for Machine Translation System Combination
Positive Diversity Tuning Machine Translation System
2015/6/10
We present Positive Diversity Tuning, a new method for tuning machine translation models specifically for improved performance during system combination. System combination gains are often limited by ...
A News-oriented Chinese-English Machine Translation System
Multi-Engine Machine Translation Chinese Information Processing
2015/2/2
This paper introduces a News-oriented Chinese-English Machine Translation system. Firstly, general information of the system is given.Secondly, the architecture of the system –– the micro-engine pipel...
Chinese-English Machine Translation System Based on Micro-Engine Architecture
Chinese-English Machine Translation System Micro-Engine Architecture
2009/2/13
Despite the use of a number of technologies in the design of machine translation systems, none of them has produced an optimal output on free text. A multi-engine MT approach has therefore been propos...