Since Abney (1987), the DP-analysis has been the standard analysis for nominal complexes, but in the last decade, the NP analysis has experienced a revival. In this spirit, we provide an NP analysis for German nominal complexes in HPSG. Our analysis deals with the fact that relational nouns assign case and theta role to their arguments. We develop an analysis in line with selectional localism (Sag 2012: 149), accounting for the asymmetry between prenominal and postnominal genitives, as well as for the complementarity between higher arguments and possessives, providing a syntactic and semantic analysis.
This paper presents a left-branching constructionalist grammar design where the phrase structure tree does not correspond to the conventional constituent structure. The constituent structure is rather reflected by embeddings on a feature STACK. The design is compatible with incremental processing, as words are combined from left to right, one by one, and it gives a simple account of long distance dependencies, where the extracted element is assumed to be dominated by the extraction site. It is motivated by psycholinguistic findings.
In this paper, we deal with register-driven variation from a probabilistic perspective, as proposed in Schäfer, Bildhauer, Pankratz, Müller (2022). We compare two approaches to analyse this variation within HPSG. On the one hand, we consider a multiple-grammar approach and combine it with the architecture proposed in the CoreGram project Müller (2015) - discussing its advantages and disadvantages. On the other hand, we take into account a single-grammar approach and argue that it appears to be superior due to its computational efficiency and cognitive plausibility.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.