DISTRIBUTED
GRAMMAR & INTERACTIVE LINGUISTICS


     Distributed Grammar is an integrated framework for Associative Semantics (AS) and Meta-Informative Centering (MIC) theory. It is being designed in the framework of a multi-layer modelling of the problems of natural language understanding.

    The rule-only-based analysis of tree-like structuring of languages needs to be replaced by the distributed logic analysis of web-like representations which are more suitable for building meaning representations within intelligent distributed (multi-processor) systems.

    In Distributed Grammar grounding (refinement, compression, accommodation and the like) goes across the other domains of discourse analysis such as (a) the communication space (backward and forward looking units or, in other words, anaphora and cataphora), (b) the cognition space ("known" and "unknown") as well as (c) knowledge space (including modality, temporality, aspectuality etc.). It can be considered therefore that grounding, refinement and accommodation play an additive and resolving role in conception (creativity), transmission and comprehension of semantic and pragmatic contents in human communication processes.

Distributed Grammar
 
INTERACTIVE LINGUISTICS
(Computer-aided Acquisition of Semantic Knowledge)
SEMANA Software


      The Methods of Interactive Linguistics are aimed at describing a number of semantic fields of natural languages, using data mining techniques elaborated within the framework of the new paradigm of computation known as Knowledge Discovery in Databases (KDD). The motivation is to "dig deeper" in order to find building blocks which could be used in various sophisticated ways. Interactive Linguistics is interdisciplinary, involving the scientific cooperation of linguists, logicians, psycho-neurologists and information engineers. The task of linguists is the interactive (computer-aided) discovery of ontology-based definitions of feature structures using the SEMANA software suite, which was designed especially for building datasets with linguistic knowledge.

       It is important to build and logically reconstruct (enhance, integrate and formalize) theories of language in order to conceive meta-theoretical foundations which are necessary for making further progress in describing human languages.

Interactive Linguistics