论文标题
用宏观树传感器来表征归因的树翻译
Characterizing Attributed Tree Translations in Terms of Macro Tree Transducers
论文作者
论文摘要
众所周知，归因的树换能器可以配备“常规外观”，以获得更强大的翻译类别。我们从宏观换能器（MTT）方面介绍了该类别的两个特征：第一个是对MTTS规则的静态限制，其中MTT需要配备常规的外观。第二个表征是动态的，其中MTT只需要定期的外观。
It is well known that attributed tree transducers can be equipped with "regular look-around" in order to obtain a more robust class of translations. We present two characterizations of this class in terms of macro tree transducers (MTTs): the first one is a static restriction on the rules of the MTTs, where the MTTs need to be equipped with regular look-around. The second characterization is a dynamic one, where the MTTs only need regular look-ahead.
