Grammatic And Semantic Normativity Of Linguistic Units And Features As A Factor Of Automatic Text Processing

All systems of automatic text processing are explicitly or implicitly based on two general linguistic ~ssumptlons: the assumption o~ grammatioallty of the texts processed, and the assumption of their meaningfulness. These assumptions, however, cannot be considered as absolute laws: It is not unoommon that a text, thongh acceptable to most speakers of the corresponding language, still contains some morpholoEic and/or syntactic lngrammatlcalitles or cannot be completely Interpreted In terms of "standard" semantics; and conversely, startlng from an acceptable (meaningful) semantic structure one may as often as not fail to find fully "grammatical" language means that could express thls structure wlth absolute accuracy (one of the usual translation difficulties). Thls As due, f~om our p o i n t of v iew, not o n l y to I n c o m p l e t e n e s s of l i n g u i s t i c and e x t r a l l n g u l s t l c knowledge o f s e p a r a t e people or t o I m p e r f e c t i o n s I n the c o r r e s p o n d i n g formal models , bu t also to the following two fundamental principles of Ilngulst i c performance: I) a large number of ~equlrementa on lexico-gremmatic (superficial) manifestation of natural-language texts, and on their semantic Interpretation, are relative In that they characterize certain manifestations or Interpretations as more o r less normative (preferable) in the given conditions, rather than obligatory vs. Inadmissible In the absolute sense;