Probability Distributions of Syntactic Units and Properties<sup>∗</sup>

Köhler, Reinhard; Altmann, Gabriel

doi:10.1076/jqul.7.3.189.4114

Cited by 22 publications

(14 citation statements)

References 3 publications

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“…Figure 2 can be represented as a format in Table 1. Ko¨hler and Altmann (2000) investigate the probability distribution of syntactic units based on treebanks with constituency annotation. Ko¨hler (2005) presents some quantitative properties of German verb valency with the material extracted from Helbig and Schenkel (1991).…”

Section: Introductionmentioning

confidence: 99%

Probability Distribution of Dependencies Based on a Chinese Dependency Treebank

Liu¹

2009

Journal of Quantitative Linguistics

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This article investigates probability distributions of the dependency relation extracted from a Chinese dependency treebank. The author shows the frequency distributions of dependency type, of word class both as a dependent and a governor, of verb as a governor, and of noun as a dependent. The fitting results reveal that most of the investigated distributions are excellently fitted with a modified right-truncated ZipfAlekseev distribution. In the analysis of exponential regressions, most of the determination coefficients R 2 are very good, which is an alternative evidence that the investigated distributions are fitted well.

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Section: Introductionmentioning

confidence: 99%

Probability Distribution of Dependencies Based on a Chinese Dependency Treebank

Liu¹

2009

Journal of Quantitative Linguistics

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“…Second, the appearance of adjacent words like genetic code, complex adaptive systems and synergetic linguistics in the second period indicate that phenomena bearing complex adaptive system characteristics with languages (like DNA sequences) are put under exploration within the framework of synergetic linguistics. Studies are not just confined to language systems though they still prevail, like models of the morphological level of compounding (Steiner, 1995), derivational morphology and word formation (Krott, 1999), properties on the syntactical level (Köhler, 1999) and the probability distributions of the model variables (Köhler & Altmann, 2000). Empirical corroboration has been found with Japanese vocabularies (Sanada-Yogo, 1999 and DNA sequences .…”

Section: Quantitative Aspects Of Jqlmentioning

confidence: 89%

“…Both dependency and valency are important concepts in modern linguistics and are often two closely linked notions in QL research, whose measurements are often conducted with a treebank approach. Köhler and Altmann (2000) investigate the probability distribution of syntactic units based on treebanks with constituency annotation. Köhler (2005) pioneers presenting some quantitative properties of German verb valency and some unique valency distribution patterns.…”

Section: Quantitative Aspects Of Jqlmentioning

confidence: 99%

Quantitative Aspects ofJournal of Quantitative Linguistics

Chen

Liu²

2014

Journal of Quantitative Linguistics

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As one of the most authoritative journals in the field of quantitative linguistics, the Journal of Quantitative Linguistics has just passed its 20th birthday. In this paper, we collect information from the 20 volumes of this journal published so far (1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013) to build a corpus, then extract different categories of information using corpus tools. By quantitative analysis of the corpus data, complemented with information extracted from abstract and citation index databases such as Scopus and Web of Knowledge as important references, we aim to explore the objects, aims and methodologies of quantitative linguistics, its focuses and shifts in different periods, representative achievements in the past 20 years, and possible directions for the future. During the process, the role of JQL both in the development of quantitative linguistics and the wider scientific community are located and evaluated with quantitative-based evidence. The findings are that JQL contributes greatly to the development of quantitative linguistics and is in many aspects representative of changes in this field, keeping close pace with trends in the discipline and the ever-evolving characteristics of quantitative linguistics over the years.

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“…As to the quantitative research of syntactic structure, Köhler and Altmann (2000) quantitatively analyzed English syntactic features based on a phrase-structure treebank (the so-called Susanne Corpus). Liu (2009a) quantitatively investigated Chinese syntactic features using a dependency treebank.…”

Section: Quantitative Syntactic Characteristics Of Essencementioning

confidence: 99%

Quantitative analysis of Zamenhof’s Esenco kaj estonteco

Liu

2011

LPLP

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The formation of a language community in a planned language is one of the most important steps in its development. Esperanto is the only fully functional language with relative success among more than one thousand planned language projects. Model texts have played a very significant role in the development of Esperanto. Esenco kaj estonteco de la ideo de lingvo internacia (Essence and future of the international language idea) by the founder of Esperanto, L. L. Zamenhof, is an important document on Esperanto. Taking the essay as the research object, this paper carries through lexical and syntactical analysis on Esperanto by adopting the research methods of quantitative linguistics and complex networks. The results show that the morpheme distribution of Esperanto follows a power law, word frequency distribution fits Zipf's Law, word length distribution is an exponential curve, and word class distribution obeys linear law. It is also clear that Esperanto is a language with SVO word order preference, the mean dependency distance of Esperanto is 3.85, and the distribution of the dependency distance tends to a minimum, making it typologically a head-middle language. A 43.6% dependency relation appears in adjacent words. The complex syntactic networks of Esperanto display the characteristics of small-world, scalefree networks. All of these quantitative characteristics of Esperanto demonstrate that it is structurally a normal human language.

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Probability Distributions of Syntactic Units and Properties^∗

Cited by 22 publications

References 3 publications

Probability Distribution of Dependencies Based on a Chinese Dependency Treebank

Probability Distribution of Dependencies Based on a Chinese Dependency Treebank

Quantitative Aspects ofJournal of Quantitative Linguistics

Quantitative analysis of Zamenhof’s Esenco kaj estonteco

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Probability Distributions of Syntactic Units and Properties∗

Cited by 22 publications

References 3 publications

Probability Distribution of Dependencies Based on a Chinese Dependency Treebank

Probability Distribution of Dependencies Based on a Chinese Dependency Treebank

Quantitative Aspects ofJournal of Quantitative Linguistics

Quantitative analysis of Zamenhof’s Esenco kaj estonteco

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Resources

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Probability Distributions of Syntactic Units and Properties^∗