In this paper, we describe a machine translation system called PalmTree which uses the "pattern based" approach as a fundamental framework. The pure pattern-based translation framework has several issues. One is the performance due to using many rules in the parsing stage, and the other is inefficiency of usage of translation patterns due to the exact-matching. To overcome these problems, we describe several methods; pruning techniques for the former, and introduction of example-based processing for the latter.
['Hideo Watanabe', 'Koichi Takeda']
A Pattern-based Machine Translation System Extended by Example-based Processing