Joshua 5.0: Sparser, Better, Faster, Server
Joshua 5.0: Sparser, Better, Faster, Server
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Joshua 5.0：更稀疏、更好、更快、服务器
DOI：
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发表时间：
2013
期刊：
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通讯作者：
Chris Callison
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作者：
Matt Post;Juri Ganitkevitch;Luke Orland;Jonathan Weese;Yuan Cao;Chris Callison
我们描述了在过去的一年中进行的改进，这是一种基于解析的机器翻译的开源翻译系统。使用稀疏特征表示的解码器，可以通过判别训练方法对大量功能进行训练。
We describe improvements made over the past year to Joshua, an open-source translation system for parsing-based machine translation. The main contributions this past year are significant improvements in both speed and usability of the grammar extraction and decoding steps. We have also rewritten the decoder to use a sparse feature representation, enabling training of large numbers of features with discriminative training methods.