解析偏好与语言策略

LDV Forum Pub Date : 2000-07-01 DOI:10.21248/jlcl.17.2000.19
R. Delmonte
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引用次数: 4

摘要

我们在解析器中实现了四种解析策略,它们遵守LFG语法条件,并遵循语言知识以“模块化”方式使用的假设。解析策略有:最小依恋(MA)、功能偏好(FP)、语义评价(SE)和参考个性化(RI)。从我们在实现中对它们进行实验的方式来看,它们似乎是紧密交织在一起的。特别是,MA依赖于FP来满足参数/函数解释原则;在有语义偏差的句子中,MA、FP和SE按等级顺序使用,以允许短语作为论点或修饰词。每次需要计算一个奇异的确定NP时,都需要激活RI,并且依赖于话语模型的存在。解析器显示花园路径效果,并同时产生一个语言驱动的处理分解。我们的解析器是在Prolog中实现的DCG (Pereira & Warren, 1980),并遵循自顶向下深度优先的确定性解析策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parsing Preferences and Linguistic Strategies
We implemented in our parser four parsing strategies that obey LFG grammaticality conditions and follow the hypothesis that knowledge of language is used in a “modular“ fashion. The parsing strategies are the following: Minimal Attachment (MA), Functional Preference (FP), Semantic Evaluation (SE), Referential Individuation (RI). From the way in which we experimented with them in our implementation it appears that they are strongly interwoven. In particular, MA is dependent upon FP to satisfy argument/ function interpretation principles; with semantically biased sentences, MA, FP and SE apply in hierarchical order to license a phrase as argument or adjunct. RI is required and activated every time a singular definite NP has to be computed and is dependent upon the presence of a discourse model. The parser shows garden path effects and concurrently produces a processing breakdown which is linguistically motivated. Our parser is a DCG (Pereira & Warren, 1980) is implemented in Prolog and obeys a topdown depth-first deterministic parsing policy.
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