By Alexander Mehler
The value of normal language texts because the major details constitution for the administration and dissemination of information is - because the upward thrust of the internet indicates - nonetheless expanding. Making correct texts to be had in numerous contexts is of fundamental value for effective job of completion in educational and commercial settings. assembly this call for calls for automated shape and content material established processing of texts, which permits to reconstruct or maybe to discover the dynamic dating of language process, textual content occasion and context variety. the increase of latest program components, disciplines and strategies (e.g. textual content and internet mining) testify to the significance of this job. furthermore, the becoming zone of latest media calls for the extra improvement of tools of textual content research with recognize to their computational linguistic, details theoretical, and mathematical underpinning. This ebook contributes to this activity. It collects contributions of authors from a multidisciplinary quarter who specialize in the subject of computerized textual content research from a number of (i.e. linguistic, mathematical, and knowledge theoretical) views. It describes methodological in addition to methodical foundations and collects ways within the box of textual content and corpus linguistics. during this feel, it contributes to the computational linguistic and data theoretical grounding of computerized textual content research.
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Additional info for Aspects of Automatic Text Analysis
However, what should be stressed is that the concept of a protoform is not limited – as it is in the case of related concepts – to propositions whose meaning can be represented within the conceptual structure of bivalent logic. As an illustration, consider a proposition, p, which was dealt with earlier: p : It is very unlikely that there will be a signiﬁcant increase in the price of oil in the near future. future) (F : signiﬁcant increase; D : price of oil) (G : price; H : oil) Using the protoform of p and calibrations of signiﬁcant increase, near-future, and likely, (ﬁgure 9), we can compute, in principle, the degree to which any given probability distribution of time functions representing the price of oil satisﬁes the generalized constraint, Prob(E) is A.
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