Multilinear Grammar: Ranks and Interpretations
Dafydd Gibbon, Sascha Griffiths

TL;DR
Multilinear Grammar introduces a comprehensive framework that models language structure across multiple ranks with unique interpretations, emphasizing incremental processing and systematic design features of human languages.
Contribution
It proposes a novel Rank Interpretation Architecture with multilinear properties, integrating diverse syntagmatic structures into a unified, computationally plausible model.
Findings
Demonstrates multilinear properties at each linguistic rank
Proposes default computational models for incremental processing
Highlights systematic design features of human languages
Abstract
Multilinear Grammar provides a framework for integrating the many different syntagmatic structures of language into a coherent semiotically based Rank Interpretation Architecture, with default linear grammars at each rank. The architecture defines a Sui Generis Condition on ranks, from discourse through utterance and phrasal structures to the word, with its sub-ranks of morphology and phonology. Each rank has unique structures and its own semantic-pragmatic and prosodic-phonetic interpretation models. Default computational models for each rank are proposed, based on a Procedural Plausibility Condition: incremental processing in linear time with finite working memory. We suggest that the Rank Interpretation Architecture and its multilinear properties provide systematic design features of human languages, contrasting with unordered lists of key properties or single structural properties…
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