系统功能语言学与计算

J. Bateman, Daniel McDonald, Tuomo Hiippala, Daniel Couto-Vale, Eugeniu Costetchi
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引用次数: 5

摘要

系统功能语言学(SFL)与计算语言学有着悠久的相互影响的历史,但没有一个领域停滞不前。在20世纪80年代和90年代初,各种基于SFL的自然语言生成计算系统达到了最先进的性能。然而,随后,统计驱动的计算语言学的进步,而不是基于规则的,使许多早期的系统黯然失色。在这篇文章中,我们将重点介绍当前SFL计算应用的几个领域,以展示该领域的发展情况。我们首先对这种相互作用的背景进行简要的历史介绍,接着描述当前的技术状况,并考虑SFL与统计范式之间的关系,现在是计算和自然语言的核心
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Systemic Functional Linguistics and Computation
Systemic-functional linguistics (SFL) has a long history of interaction with computational linguistics, but no area stands still. In the 1980s and early 1990s, various computational systems for natural language generation informed by SFL achieved state-of-the-art performance. Subsequently, however, advances in statistically driven, rather than rule-based, computational linguistics eclipsed many of these earlier systems. In this contribution, we focus on several areas of contemporary computational applications of SFL to show how the field is now developing. We begin with a brief historical introduction to the context of this interaction, moving on with characterizations of the current state of the art and a consideration of the relationship between SFL and the statistical paradigm now central to computation and natural language
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