A heuristic method for parsing Swedish text, heuristic schema parsing, is described and im-plemented. Focusing on main clause (primary) analysis, a collection of licensing techniques for removing non-primary verb candidates ...

This dissertation deals with the relationship between language and identity in narratives of personal experience told by young women in different settings. The aim of the investigation was to find out if there are ...

This thesis investigates and presents approaches towards creating more socially competent NPCs by means of natural language dialogues. The aim is to provide hands-on solutions for game developers who want to offer interactions ...

This thesis is concerned with the contemporary history of quantitative surveys in Sweden. The core epistemic practice of constructing surveys is examined empirically through a case study of the SOM Institute (Samhälle, ...

This thesis paves the way for including laughter in spoken dialogue systems in a domain-general and linguistically valid way using computational linguistics tools and methods. The thesis is concerned with three main ...

This thesis is dedicated to two distinct but convergent issues: the possibility of paraphrase and an account of context sensitivity on the basis of textual cohesion (or coherence). The possibility of explaining contextual ...

In this thesis we explore to what extent deep neural networks (DNNs), trained end-to-end, can be used to perform natural language processing tasks for code-switched colloquial languages lacking both large automated data ...

This thesis investigates the interrelationship between segmental phonology, prosody and gesture, as well as important factors for language development in individuals with autism spectrum condition (ASC), i.e. precursors. ...

Until now, sociolinguistic investigations of Gothenburg have been scarce. This compilation thesis provides some of the first steps in a quantitative investigation of language variation and change in the city. Its results ...

This thesis deals with the discovery, prediction, and utilization of structural patterns in language using deep learning techniques. The thesis is divided into two sections. The first section gives an introduction to the ...