Incremental Derivations in CCG
Incremental Derivations in CCG
复制标题
CCG 中的增量求导
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Vera Demberg
中科院分区：
文献类型：
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作者：
Vera Demberg
本文提出了关于组合范畴语法（CCG）中严格增量推导（即在每个时间点完全连接的推导）的可能性程度的研究笔记。最近，心理语言学界对增量解析的兴趣激增，目的是建立心理语言学上合理的语言理解模型，而 NLP 界则对构建贪婪地处理语言的系统，以便在语音识别和机器翻译等口语对话系统中实现更短的响应时间。 CCG 允许各种不同的推导，包括几乎完全增量的推导。本文探讨了在标准 CCG 中不可能实现完全增量的句法结构，最近关于增量 CCG 解析的工作已经掩盖了这一点。
This paper presents a research note on the degree to which strictly incremental derivations (that is derivations which are fully connected at each point in time) are possible in Combinatory Categorial Grammar (CCG). There has been a recent surge of interest in incremental parsing both from the psycholinguistic community in a bid to build psycholinguistically plausible models of language comprehension, and from the NLP community for building systems that process language greedily in order to achieve shorter response times in spoken dialogue systems, for speech recognition and machine translation. CCG allows for a variety of different derivations, including derivations that are almost fully incremental. This paper explores the syntactic constructions for which full incrementality is not possible in standard CCG, a point that recent work on incremental CCG parsing has glossed over.
使用心理语言驱动的树邻接语法进行增量预测解析
影响因子：
9.3
作者：
V. Demberg;F. Keller;A. Koller
通讯作者：
A. Koller