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ASU Electronic Theses and Dissertations

This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at

Wolfgang Haas is an award-winning Austrian author known primarily for his entertaining and quirky detective novels which follow the misadventures of Simon Brenner, an Austrian private investigator. These novels are notable for their subtle and not-so-subtle critiques of contemporary Austrian society and culture, their sometimes grisly content, and their unique and colloquial use of the Austrian variety of the German language. Haas has received numerous literary awards in the German-speaking world and attributes his success to the unique way he tells his stories, rather than the stories themselves. Of the seven Brenner novels that have been published thus far, only …

Geisler, Paul Thomas, Gilfillan, Daniel, Ghanem, Carla, et al.
Created Date

For the past three decades, the design of an effective strategy for generating poetry that matches that of a human’s creative capabilities and complexities has been an elusive goal in artificial intelligence (AI) and natural language generation (NLG) research, and among linguistic creativity researchers in particular. This thesis presents a novel approach to fixed verse poetry generation using neural word embeddings. During the course of generation, a two layered poetry classifier is developed. The first layer uses a lexicon based method to classify poems into types based on form and structure, and the second layer uses a supervised classification method …

Magge Ranganatha, Arjun, Syrotiuk, Violet R, Baral, Chitta, et al.
Created Date