Titlebook: Contributions to the Science of Text and Language; Word Length Studies Peter Grzybek Book 2007 Springer Science+Business Media B.V. 2007 D

Overstate

History and Methodology of Word Length Studies, and logician (1806–1871), in a letter to a friend of his, brought forth the idea of studying word length as an indicator of individual style, and as a possible factor in determining authorship. Specifically, de Morgan concentrated on the number of letters per word and suspected that the average len

沉積物

Information Content of Words in Texts, called “speaker’s information content” (.) and “hearer’s information content” (.) which may differ in amount, i.e. . ≠ ., and cannot always be mechanically evaluated from the frequencies of words in the text. The idea is derived from the Fitts—Garner controversy in mathematical psychology (cf. Fitt

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Within-Sentence Distribution and Retention of Contentwords and function words,in the items obtaining the first positions (‘primacy effect’) of the list and those obtaining the last positions (‘recency effect’), and, in the words of Murdock Jr., “a horizontal asymptote spanning the primacy and recency effect” (cf. Figure 5.1).

ALLAY

On Text Corpora, Word Lengths, Andword Frequencies in Slovenian,level comparable to many European languages with a long history of quantitative linguistic research. There are two established corpora with 100 million running words, an academic one which is freely accessible and a commercial one, prepared by industrial and academic partners. The two are complement

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細菌等

,Towards the Foundations of Menzerath’s Law, general regularities are derived concerning the length relation of words and of morphemes. Furthermore, a representative sample of Russian language data is analyzed (50787 Russian root words and affixal-derivational words) for a preliminary test of the suggested model. Primary attention is paid to

Amnesty

Aspects of the Typology of Slavic Languages, Haarmann (1976: 13), who calls the classification of natural languages the aim of general language typology, Lehmann (1969: 58), who says that the classification of languages is the main target of each typology, as do Horne (1966: 4) and Serebrennikov (1972), where we find the term of ‘typological

SUGAR

Multivariate Statistical Methods in Quantitative Text Analyses,ogical overlappings between these two approaches, their orientation is essentially different, at least in some important aspects: in general, quantitative linguistics strives for the detection, description, and explanation of particular linguistic rules, or laws; as compared to this, the ‘classical’

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