A Joint Sequence Translation Model with Integrated Reordering
A Joint Sequence Translation Model with Integrated Reordering
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发表时间：
2011-06
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通讯作者：
Nadir Durrani;Helmut Schmid;Alexander M. Fraser
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作者：
Nadir Durrani;Helmut Schmid;Alexander M. Fraser
我们提出了一种新颖的机器翻译模型，它通过线性操作序列对翻译进行建模。与“N-gram”模型相反，该序列不仅包括翻译，还包括重新排序操作。我们模型的关键思想是（i）一种新的重新排序方法，可以更好地限制单词或短语可以移动的位置，并且能够以统一的方式处理短距离和长距离重新排序，以及（ii）用于翻译和重新排序概率的联合序列模型，它比标准的基于短语的机器翻译更灵活。我们观察到，在德语到英语和西班牙语到英语的任务中，BLEU 相对于 Moses 有着统计上的显着改进，在法语到英语的任务中，结果也相当可比。
We present a novel machine translation model which models translation by a linear sequence of operations. In contrast to the "N-gram" model, this sequence includes not only translation but also reordering operations. Key ideas of our model are (i) a new reordering approach which better restricts the position to which a word or phrase can be moved, and is able to handle short and long distance re-orderings in a unified way, and (ii) a joint sequence model for the translation and reordering probabilities which is more flexible than standard phrase-based MT. We observe statistically significant improvements in BLEU over Moses for German-to-English and Spanish-to-English tasks, and comparable results for a French-to-English task.