Python implementation of the expectation-based Minimalist Grammars (e-MGs) discussed in Chesi 2021. E-MGs are greatly indebted with MGs (Stabler 1997) and PMGs (Chesi 2007, 2017) formalisms. This implementation includes: a grammar definition, a unified parsing/generation interactive procedure, a set of parameterizations and lexica dealing with specific formal (e.g., counting recursion) and linguistic facts (copular constructions in Italian, relative clauses in English, Greenberg's Universal 20 re-ordering etc.), few simple complexity metrics both producing on-line (word-by-word) encoding integration and retrieval costs and off-line (global) costs.

Expectation-based Minimalist Grammars (v 1.0) - core generation algorithm, lexicon fragments, parameters and complexity metrics

cristiano chesi
Software
2021

Abstract

Python implementation of the expectation-based Minimalist Grammars (e-MGs) discussed in Chesi 2021. E-MGs are greatly indebted with MGs (Stabler 1997) and PMGs (Chesi 2007, 2017) formalisms. This implementation includes: a grammar definition, a unified parsing/generation interactive procedure, a set of parameterizations and lexica dealing with specific formal (e.g., counting recursion) and linguistic facts (copular constructions in Italian, relative clauses in English, Greenberg's Universal 20 re-ordering etc.), few simple complexity metrics both producing on-line (word-by-word) encoding integration and retrieval costs and off-line (global) costs.
Minimalist Grammars, Syntax, Parsing, Generation, Psycholinguistics, Complexity metrics, featural relativized minimality
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12076/10756
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