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Parsing Strategies with 'Lexicalized' Grammars: Application to Tree Adjoining Grammars

机译:“词汇化”语法分析策略:在树状邻接语法中的应用

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In this paper we present a general parsing strategy that arose from the development of an Earley-type parsing algorithm for TAGs (Schabes and Joshi 1988) and from recent linguistic work in TAGs (Abeille 1988).In our approach elementary structures are associated with their lexical heads. These structures specify extended domains of locality (as compared to a context-free grammar) over which constraints can be stated. These constraints either hold within the elementary structure itself or specify what other structures can be composed with a given elementary structure.We state the conditions under which context-free based grammars can be 'lexicalized' without changing the linguistic structures originally produced. We argue that even if one extends the domain of locality of CFGs to trees, using only substitution does not give the freedom to choose the head of each structure. We show how adjunction allows us to 'lexicalize' a CFG freely.We then show how a 'lexicalized' grammar naturally follows from the extended domain of locality of TAGs and present some of the linguistic advantages of our approach.A novel general parsing strategy for 'lexicalized' grammars is discussed. In a first stage, the parser builds a set structures corresponding to the input sentence and in a second stage, the sentence is parsed with respect to this set. The strategy is independent of the linguistic theory adopted and of the underlying grammar formalism. However, we focus our attention on TAGs. Since the set of trees needed to parse an input sentence is supposed to be finite, the parser can use in principle any search strategy. Thus, in particular, a top-down strategy can be used since problems due to recursive structures are eliminated. The parser is also able to use non-local information to guide the search.We then explain how the Earley-type parser for TAGs can be modified to take advantage of this approach.
机译:在本文中,我们提出了一种通用的解析策略,该策略源自TAG的Earley型解析算法的发展(Schabes和Joshi 1988)和TAG的最新语言工作(Abeille 1988)。 在我们的方法中,基本结构与其词首联系在一起。这些结构指定了可以声明约束的局部扩展域(与无上下文语法相比)。这些约束要么保留在基本结构本身内,要么指定可以用给定的基本结构构成哪些其他结构。 我们陈述了在不改变最初产生的语言结构的情况下可以将基于上下文的语法“词汇化”的条件。我们认为,即使将CFG的局部域扩展到树上,仅使用替换也不能自由选择每个结构的头部。我们展示了附加功能如何使我们能够自由地“词汇化” CFG。 然后,我们说明“词汇化”语法是如何自然地从TAG的局部性扩展域中得出的,并展示了我们方法的某些语言优势。 讨论了一种新颖的“词汇化”语法的通用解析策略。在第一阶段,解析器构建与输入句子相对应的集合结构,在第二阶段,针对该集合解析句子。该策略独立于所采用的语言理论和基本的语法形式主义。但是,我们将注意力集中在TAG上。由于解析输入句子所需的树集应该是有限的,因此解析器原则上可以使用任何搜索策略。因此,特别地,由于消除了由于递归结构引起的问题,因此可以使用自上而下的策略。解析器还能够使用非本地信息来指导搜索。 然后,我们解释了如何修改TAG的Earley型解析器以利用这种方法。

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