By G. Altmann (auth.), Prof. Dr. Reinhard Köhler, Prof. Dr. Burghard B. Rieger (eds.)
QUALICO has been held for the 1st time as a global convention to illustrate the cutting-edge in quantitative linguistics. This area of language research and learn is gaining enormous curiosity because of contemporary advances in linguistic modelling, relatively in computational linguistics, cognitive technology, and advancements in arithmetic like glossy platforms idea. growth in and software program expertise, including ease of entry to information and numerical processing, has supplied new technique of empirical information acquisition and the appliance of mathematical versions of sufficient complexity. This quantity comprises the papers learn at QUALICO 91, and gives a consultant evaluate of the cutting-edge in quantitative linguistic research.
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Additional resources for Contributions to Quantitative Linguistics: Proceedings of the First International Conference on Quantitative Linguistics, QUALICO, Trier, 1991
The function has been derived by JOB and ALTMANN (1985) from the differential equation de e = (_k__~) dA 1- a A where e stands for the tendency of a sound to change, A for the effort of articulation, and 1- A represents the decoding effort (since decoding becomes the harder, the smaller the amount of articulatory exertion). The solution e = c(l- A)-k A- b is represented by the graph in Fig 5. It is easy to see that the probability of change of a sound is smallest when there is an equilibrium between the infiuences of both needs.
Secondly, we assume that some general regularities of semantic development of morphemic and syntactic units should in principle be isomorphic to those of lexical units. The lexical level of the language system provides the most evident information on regularities of the process; it should be examined first of all and, as it seems, should be regarded as a clear model for respective investigations of other levels (morphological and syntactical). The phenomenon of a word's semantic potential is based on the ability of lexical meanings - images, by their basic nature - for associative linkages, interaction with other meanings and extralinguistic senses (which are also images by their nature) present in the human mind.
On the other hand, max v = n; if this holds, each word of the text represents the occurrence of a new lexical unit, so that each lexical unit has frequency 1, and thus n v. Consequently, the interval of v is = max ni :s v :s n. (2) The question arises whether Menzerath-Altmann's law is valid for these extreme values of v. Let us suppose two extreme cases of texts, one having length n = 1, and the other one n = v. As the value of yin (1) represents the mean length of constituents, then y n / v, and the length of the construct in the number of constituents is x = v.