Search

This thesis employs multiple methodologies in order to explore Hungarian fiction in contemporary English translation as a distinct body of literature. It comprises three interrelated contributions: a bibliography, three case studies, and a translation. A bibliography of English translations of Hungarian novels published between 2000 and 2016 is presented in Appendix A, and Chapter 1 contains an overview of contemporary Hungarian-to-English fiction translation based on the bibliographic data, including a description of the assembly process. Chapters 2-4 focus more closely on a selection of these texts, tracing publication histories as well as target culture reception and interpreting translation shifts. Chapter 2 considers the language of Seiobo There Below by László Krasznahorkai (2013, tr. Ottilie Mulzet) in relation to the author’s vernacular oeuvre, and offers meta-artistic commentary on the target text. Chapter 3 investigates the concept of corporeal writing in Parallel Stories by Péter Nádas (2011, tr. Imre Goldstein), arguing that the organising principle of the source text is compromised in translation, which produces a fragmented work. Chapter 4 uncovers and categorises translation shifts in Journey by Moonlight by Antal Szerb (2002, tr. Len Rix) as an example of a recently translated Hungarian classic. Chapter 5 connects the analytical section of the thesis with the creative component that follows it. It departs from traditional academic discourse and uses a more reflective, lyrical mode of writing to explore the subjectivity of the translator and introduce the new text to its English-language readership. Finally, my English translation of the 1967 Hungarian novel Győzelmes Gábriel by György Méhes is presented under the title Gabriel the Victorious.

The overall clinical motivation of this thesis is to differentiate between the different stages of liver disease stratifying into: no disease, mild disease, and severe fibrosis using Magnetic Resonance Imaging (MRI). As a related aim, we seek to differentiate as much as possible pericellular and nonpericellular fibrosis. This latter is clinically important, but currently no method exists that is able to perform this. Quickly, we realised that these aims push low level image analysis beyond their current bounds and so a great deal of the thesis is dedicated to extending such techniques before they can be applied. To work on the most fundamental low level image analysis concepts and algorithms we choose one of the most recent developments, namely continuous intrinsic dimensionality (ciD), which allows the continuous classification of homogeneous patches from 1D structures to intrinsically 2D structures. We show that the current formalism has several fundamental limitations and we propose a number of developments to improve on these. We re-evaluated feature energy statistics that were originally proposed in ciD, and additionally we examined the confidence one may have in stateof- the-art methods to estimate the orientation of features. We show that new statistical methods are required for feature energy, and that orientation predictability is more important than correctness of the estimation. This evaluation led us to the monogenic signal local orientation. Analysis of feature or texture energy is also a main contribution of this thesis. Within this framework we propose the Riesz-weighted phase congruency model. This is able to detect internal texture structures but it is not capable of delineating boundaries. Nevertheless, it proves an appropriate basis for texture quantification. Finally, we show that in contrast to using the standard established Kovesi approach, the developed texture measure leads to good results on the suboptimal T1w MRI liver image staging images. We show that we are able to differentiate automatically between the separate disease scores and between pericellular and non-pericellular fibrosis.