作为句法依赖模型的感知树自动机

T. Graf, Aniello De Santo
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引用次数: 11

摘要

最近,语法的各个方面都用次规则术语来描述。然而,这些描述操作在非常不同的表示上,包括c命令关系的字符串编码以及从派生树投射的层。我们提出了一种通过在极简语法依赖树上感知树自动机来统一这些方法的方法。感知树自动机是一种确定性自顶向下的树自动机,它可以在为所有子节点分配特定状态之前检查它们的标签。众所周知,这些自动机不能正确地执行极简主义语法中的所有运动依赖,但我们表明,如果考虑到几个完善的运动经验限制,这个结果不再成立。因此,感知树自动机为句法依赖关系的复杂性提供了一个强大而统一的上限。
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Sensing Tree Automata as a Model of Syntactic Dependencies
Various aspects of syntax have recently been characterized in subregular terms. However, these characterizations operate over very different representations, including string encodings of c-command relations as well as tiers projected from derivation trees. We present a way to unify these approaches via sensing tree automata over Minimalist grammar dependency trees. Sensing tree automata are deterministic top-down tree automata that may inspect the labels of all daughter nodes before assigning them specific states. It is already known that these automata cannot correctly enforce all movement dependencies in Minimalist grammars, but we show that this result no longer holds if one takes into account several well-established empirical restrictions on movement. Sensing tree automata thus furnish a strong yet uniform upper bound on the complexity of syntactic dependencies.
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