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According to Haider (2010), we have to distinguish three types of infinitival complements in Present-Day German: (i) CP complements, (ii) VP complements and (iii) verbal clusters. While CP complements give rise to biclausal structures, VP complements and verbal clusters indicate a monoclausal structure. Non-finite verbs in verbal clusters build a syntactic unit with the governing verb. It is only the last infinitival pattern that we address as a so-called coherent infinitival pattern, a notion introduced in the influential work of Bech (1955/57). Verbal clusters are bound to languages with an OV grammar, hence the well-known differences regarding infinitival syntax in German and English (Haider 2003, Bobaljik 2004). On the widespread assumption that German has been an OV language throughout its history (Axel 2007), we expect all three types of infinitival complements to be present from the earliest attestions of German.
The ability to spell correctly is a fundamental skill for participating in society and engaging in professional work. In the German language, the capitalization of nouns and proper names presents major difficulties for both native and nonnative learners, since the definition of what is a noun varies according to one’s linguistic perspective. In this paper, we hypothesize that learners use different cognitive strategies to identify nouns. To this end, we examine capitalization exercises from more than 30,000 users of an online spelling training platform. The cognitive strategies identified are syntactic, semantic, pragmatic, and morphological approaches. The strategies used by learners overlap widely but differ by individual and evolve with grade level. The results show that even though the pragmatic strategy is not taught systematically in schools, it is the most widespread and most successful strategy used by learners. We therefore suggest that highly granular learning process data can not only provide insights into learners’ capabilities and enable the creation of individualized learning content but also inform curriculum development.
This dissertation uses a common grammatical phenomenon, light verb constructions (LVCs) in English and German, to investigate how syntax-semantics mapping defaults influence the relationships between language processing, representation and conceptualization. LVCs are analyzed as a phenomenon of mismatch in the argument structure. The processing implication of this mismatch are experimentally investigated, using ERPs and a dual task. Data from these experiments point to an increase in working memory. Representational questions are investigated using structural priming. Data from this study suggest that while the syntax of LVCs is not different from other structures’, the semantics and mapping are represented differently. This hypothesis is tested with a new categorization paradigm, which reveals that the conceptual structure that LVC evoke differ in interesting, and predictable, ways from non-mismatching structures’.