Open AccessThree improvements to the HPSG model theory
Author(s) -
Adam Przepiórkowski
Publication year - 2021
Publication title -
proceedings of the international conference on head-driven phrase structure grammar
Language(s) - English
Resource type - Journals
ISSN - 1535-1793
DOI - 10.21248/hpsg.2021.9
Subject(s) - head driven phrase structure grammar , computer science , rule based machine translation , extension (predicate logic) , phrase structure grammar , spurious relationship , grammar , artificial intelligence , natural language processing , theoretical computer science , programming language , linguistics , context free grammar , machine learning , philosophy , generative grammar
The aim of this paper is to propose three improvements to the HPSG model theory. The first is a solution to certain formal problems identified in Richter 2007. These problems are solved if HPSG models are rooted models of utterances and not exhaustive models of languages, as currently assumed. The proposed solution is compatible with all existing views on the nature of objects inhabiting models. The second improvement is a solution to “Höhle’s Problem”, i.e., the problem of massive spurious ambiguities in models of utterances. The third is a formalisation of Yatabe's (2004) analysis of the coordination of unlike categories, one that requires a second-order extension of the language for stating HPSG grammars.