Generalisation of language and knowledge models for corpus analysis

TL;DR

This paper proposes a unified model for language and knowledge in corpus analysis, challenging traditional separation and suggesting potential implications like Strong AI.

Contribution

It introduces a simplistic, generalized model that combines language and knowledge modeling, offering a new perspective in NLP and corpus linguistics.

Findings

Challenging language/knowledge separation in NLP

Proposing a unified model for language and knowledge

Hypothesizing implications such as Strong AI

Abstract

This paper takes new look on language and knowledge modelling for corpus linguistics. Using ideas of Chaitin, a line of argument is made against language/knowledge separation in Natural Language Processing. A simplistic model, that generalises approaches to language and knowledge, is proposed. One of hypothetical consequences of this model is Strong AI.