Search
Now showing items 1-4 of 4
Konferenzveröffentlichung

Referring nouns in name-informing quotation: A copula-based approach
(Universität OsnabrückenHumboldt-Universität zu Berlin, 2020)
In name-informing constructions like "The phenomenon is called a “sun halo”", the noun mentioned in the quotation (a “sun halo”) adopts a referring interpretation, as indicated by the determiner. As an account, we claim predicates like call to introduce a copular relation, which is the source of referring uses of nominals in name-informing quotation: To call y “n” entails that y is an n. Two copula types are argued to be covertly contained in name-informing constructions, an identificational copula and an equative ...
Teil eines Buches
Goal prevalence and situation types: An empirical analysis of differences in Greek and German motion event descriptions
(Bloomsbury Academic, 2020)
The aim of the current study is to investigate crosslinguistic differences in the encoding of motion events and the distribution of their constituent parts, that is, the manner as well as the path focusing mainly on the Goal component. In the abundant literature on the effect of the lexicalization pattern of a language (Satellite- versus Verb-framed), only a few studies have systematically taken into account the specific properties of the situation underlying a verbalization. With a focus on German and Greek, we ...
Dissertation
The Representation of Motion Events
(2022)
The thesis at hand approaches the conceptualization of motion events from a theoretical point of view as well as on the basis of a corpus study and two experimental designs. The research focuses on the investigation of different factors determining the conceptualization and verbalization of motion events by examining both cognitive variables and grammatical factors.
Dissertation
Conputational Linguistic Approach to Implicit Sentiment Analysis: Politeness and Sentiment Interaction
(2022)
Sentiment analysis is a hot topic in many research fields such as linguistics, computer science and marketing. With the development of technology, machines can reach very high performance on explicit sentiment analysis both sentence-level and aspect-level. The role of computational linguists has also changed from handcrafting scoring rules to guide training data annotation as the algorithms are developed from rule-based scoring to deep learning models that can extract language features themselves. Moreover, research ...