Contributions to the Science of Text and Language: Word by Peter Grzybek (auth.), Peter Grzybek (eds.)
By Peter Grzybek (auth.), Peter Grzybek (eds.)
This quantity incorporates a selection of contributions to the technology of language, targeting the examine of note size specifically. inside a synergetic framework, the observe seems to be a crucial linguistic unit, as is obviously defined within the Editorâ€™s preface. The bookâ€™s first bankruptcy is an intensive advent to the heritage and state-of-the-art of be aware size studies.
The stories integrated unify contributions from 3 vital linguistic fields, specifically, linguistics and textual content research, arithmetic and records, and corpus and information base layout, which jointly provide a accomplished method of the quantitative learn of textual content and language and note size stories.
The extensive spectrum of be aware size experiences coated inside of this quantity could be of curiosity to specialists operating within the fields of normal linguistics, textual content scholarship and similar fields, and, knowing language as one instance of complicated semiotic platforms, the amount will be of curiosity for students from different fields as well.
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Extra info for Contributions to the Science of Text and Language: Word Length Studies and Related Issues
Consequently, the following presentation, in addition to discussing relevant theoretical models, will also try to present the results of empirical research. Studies of merely empirical orientation, without any attempt to arrive at some generalization, will not be mentioned, however – this deliberate concentration on theory may be an important explanation as to why some quite important studies of empirical orientation will be absent from the following discussion. The first models were discussed as early as in the late 1940s.
Wimmer/Altmann 1999: 111), replacing ε1 by α: pi = (1 − α) · e−λ λi e−λ λi−1 +α· , i = 0, 1, 2, . . i! (i − 1)! 18) e−λ λi−1 e−λ λi−2 +α· , i = 1, 2, . . (i − 1)! (i − 2)! 19) with λ = µ − α. , as α ˆ= x ¯ − m2 . 19), replacing ε2 by α: pi = (1 − α) · 47 History and Methodology of Word Length Studies √ with λ = (µ − α) − 1; in this case, α can be estimated as α ˆ= x ¯ − 1 − m2 . 19) which has been discussed by Fucks as another special case of his generalized Poisson model, though not under this name.
If at all, reference to his work was mainly made by some Soviet scholars, ˇ who, terming the 1-displaced Poisson distribution “Cebanov-Fucks distribution”, would later place him on a par with German physician Wilhelm Fucks. 01 in two thirds of the cases. 6: Fitting the 1-Displaced Poisson Distribution to Three ˇ Text Segments (Cebanov 1947) ˇ Cebanov’s work, favor the 1-displaced Poisson distribution to be an important model, in the late 1950s. Before presenting Fucks’ work in detail, it is necessary to discuss another approach, which also has its roots in the 1940s.