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Word Order Typology Interacts With Linguistic Complexity: A Cross-Linguistic Corpus Study

机译:语序类型学与语言复杂性相互作用:跨语言语料库研究

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摘要

Much previous work has suggested that word order preferences across languages can be explained by the dependency distance minimization constraint (Ferrer-i Cancho, 2008, 2015; Hawkins, 1994). Consistent with this claim, corpus studies have shown that the average distance between a head (e.g., verb) and its dependent (e.g., noun) tends to be short cross-linguistically (Ferrer-i Cancho, 2014; Futrell, Mahowald, & Gibson, 2015; Liu, Xu, & Liang, 2017). This implies that on average languages avoid inefficient or complex structures for simpler structures. But a number of studies in psycholinguistics (Konieczny, 2000; Levy & Keller, 2013; Vasishth, Suckow, Lewis, & Kern, 2010) show that the comprehension system can adapt to the typological properties of a language, for example, verb-final order, leading to more complex structures, for example, having longer linear distance between a head and its dependent. In this paper, we conduct a corpus study for a group of 38 languages, which were either Subject-Verb-Object (SVO) or Subject-Object-Verb (SOV), in order to investigate the role of word order typology in determining syntactic complexity. We present results aggregated across all dependency types, as well as for specific verbal (objects, indirect objects, and adjuncts) and nonverbal (nominal, adjectival, and adverbial) dependencies. The results suggest that dependency distance in a language is determined by the default word order of a language, and crucially, the direction of a dependency (whether the head precedes the dependent or follows it; e.g., whether the noun precedes the verb or follows it). Particularly we show that in SOV languages (e.g., Hindi, Korean) as well as SVO languages (e.g., English, Spanish), longer linear distance (measured as number of words) between head and dependent arises in structures when they mirror the default word order of the language. In addition to showing results on linear distance, we also investigate the influence of word order typology on hierarchical distance (HD; measured as number of heads between head and dependent). The results for HD are similar to that of linear distance. At the same time, in comparison to linear distance, the influence of adaptability on HD seems less strong. In particular, the results show that most languages tend to avoid greater structural depth. Together, these results show evidence for "limited adaptability" to the default word order preferences in a language. Our results support a large body of work in the processing literature that highlights the importance of linguistic exposure and its interaction with working memory constraints in determining sentence complexity. Our results also point to the possible role of other factors such as the morphological richness of a language and a multifactor account of sentence complexity remains a promising area for future investigation.
机译:以前的许多工作表明,可以通过依赖距离最小化约束来解释跨语言的单词顺序首选项(Ferrer-i Cancho,2008,2015; Hawkins,1994)。与该主张一致的是,语料库研究表明,头部(例如动词)与其从属(例如名词)之间的平均距离在语言上趋于较短(Ferrer-i Cancho,2014年; Futrell,Mahowald和&Gibson ,2015; Liu,Xu,&Liang,2017)。这意味着平均而言,语言要避免效率低下或结构复杂的简单结构。但是,许多关于心理语言学的研究(Konieczny,2000; Levy&Keller,2013; Vasishth,Suckow,Lewis,&Kern,2010)表明,理解系统可以适应语言的类型特性,例如动词-final顺序,导致更复杂的结构,例如,头部和其附属对象之间的线性距离更长。在本文中,我们针对38种语言(主体-动词-宾语(SVO)或主体-宾语-动词(SOV))进行了语料库研究,以研究词序类型学在确定句法中的作用复杂。我们介绍了所有依赖项类型以及特定的语言(宾语,间接宾语和附加语)和非语言(名词,形容词和状语)依赖项的汇总结果。结果表明,语言中的依赖关系距离由语言的默认单词顺序决定,并且至关重要的是,依赖关系的方向(头部是在依赖关系之前还是在依赖关系之后;例如,名词是在动词之前还是之后) )。特别地,我们表明,在SOV语言(例如印地语,韩语)和SVO语言(例如英语,西班牙语)中,当头和从属之间镜像默认单词时,结构中的头和从属之间会出现更长的线性距离(以单词数衡量)语言顺序。除了显示线性距离的结果外,我们还研究了字序类型学对分层距离(HD;以头和从属之间的头数测量)的影响。 HD的结果类似于线性距离的结果。同时,与线性距离相比,适应性对高清的影响似乎不那么强烈。特别是,结果表明大多数语言都倾向于避免更大的结构深度。总之,这些结果表明了对语言中默认单词顺序首选项的“有限适应性”。我们的结果支持处理文献中的大量工作,突显了语言暴露的重要性及其在确定句子复杂性方面与工作记忆约束的相互作用。我们的研究结果还指出了其他因素(例如语言的形态丰富度)和句子复杂度的多因素说明可能发挥的作用,仍然是未来研究的有希望的领域。

著录项

  • 来源
    《Cognitive science》 |2020年第4期|e12822.1-e12822.44|共44页
  • 作者

  • 作者单位

    Jawaharlal Nehru Univ Dept Humanities & Social Sci New Delhi India|Univ Potsdam Potsdam Germany;

    Indian Inst Technol Delhi Dept Humanities & Social Sci New Delhi 110016 India;

    Jawaharlal Nehru Univ Dept Humanities & Social Sci New Delhi India|Shroff Char Eye Hosp Delhi India;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Language adaptation; Working memory constraints; Language typology; Corpus linguistics; Quantitative linguistics; Dependency treebanks;

    机译:语言适应;工作记忆限制;语言类型;语料库语言学;定量语言学;依赖树库;
  • 入库时间 2022-08-18 05:18:45

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