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Investigations on categorial grammars: Parsing algorithms and equivalence of formalims (Spanish text).

机译:关于类别语法的研究:解析算法和形式句的等价性(西班牙语)。

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This work is the outcome of a research in the use of Categorial Grammars (CG) for the description and parsing of natural and formal languages.; Our work has focused on those aspects we found problematic facing the practical application of CG, such as: (a) a strong equivalence of Context Free Grammars (CFG) and CG, (b) lack of descriptive power of CG, (c) the existence of multiple systems of semantic labelling for the Lambek Calculus (LC) and thus, lack of precise definition for the spurious ambiguity, (d) efficiency and robustness of parsing algorithms.; We start dealing with the possible use of LC in CFG, and we conclude that this is possible. This is proved by the introduction of one algebraic model and the derivation of the LC there.; Another way of looking at the above results is to think we have built another CG theory by the addition of axioms to the LC. We call CG to this system, and it results in one unified theory for CFG and CG.; Next, we discuss the implications of using LC in CFG, as well as its advantages and disadvantages.; With respect to the existence of multiple systems of labelling for the LC, we introduce two versions for the calculus in Natural Deduction (ND) for CG. Using one of these variants is how we demostrate the Inversion Principle and the Curry-Howard isomorphism for the ND calculus. Then, we introduce two new conversion algorithms between the proofs in LC and the deductions in ND and thus, we get one semantic labelling in LC. We propose this labelling as the definition of equality in proofs and, therefore, as the definition of spurious ambiguity.; Finally, we introduce two different parsing algorithms: one for the calculus in ND—the only one we know to be complete and which generates only deductions in normal forms—and another one for the LC—being also complete and free of spurious ambiguity.; This second algorithm is specially interesting as it owns some top-down steps. Then, we discuss the possibility of using it as the kernel of an abductive semi-robust parser; abductive in the sense of Kakas and Kowalski.
机译:这项工作是对使用分类文法(CG)来描述和解析自然语言和形式语言的研究的结果。我们的工作集中在我们发现CG实际应用面临的问题的那些方面,例如:(a)上下文无关文法(CFG)和CG的等效性很强,(b)CG的描述能力不足,(c) Lambek微积分(LC)存在多个语义标记系统,因此缺乏对虚假歧义的精确定义,(d)解析算法的效率和鲁棒性;我们开始处理在CFG中可能使用LC的问题,并得出结论认为这是可能的。通过引入一个代数模型并推导LC可以证明这一点。查看上述结果的另一种方式是认为我们通过在LC中添加轴心建立了另一个CG 理论。我们将 CG ⪯ 称为该系统,这导致了CFG和CG的统一理论。接下来,我们讨论在CFG中使用LC的含义以及它的优缺点。关于LC的多个标记系统的存在,我们为CG的自然演绎(ND)演算引入了两个版本。使用这些变体之一是我们如何演算ND微积分的反演原理和Curry-Howard同构。然后,我们在LC的证明和ND的推论之间引入了两种新的转换算法,从而在LC中得到了一种语义标记。我们建议将此标签作为证明中的平等的定义,因此,作为虚假歧义的定义。最后,我们介绍了两种不同的解析算法:一种用于ND中的演算(我们唯一知道是完整的一种,并且仅生成正常形式的推论),另一种用于LC的演算法也完整且没有虚假的歧义。第二个算法特别有趣,因为它具有一些自上而下的步骤。然后,我们讨论了将其用作诱拐半健壮解析器内核的可能性。在Kakas和Kowalski的意义上是绑架的。

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