Pontypool, traduci e muori. Traduzione di pontypool changes everything di tony burgess.

This work is focused on the translation of the first half of the novel Pontypool Changes Everything, written by Canadian author and screenplay writer Tony Burgess in 1998 and – quite surprisingly – still unpublished in Italy. Although the book disguises itself as a product for general consumption – more precisely as a tale of zombies – it is clear from the very beginning that the author is not interested in conforming to the conventions of the genre to which his work belongs. On the contrary, he seems to exploit the recent success of zombiea-pocalypse inspired stories to build up a more complex type of narrative. Nonetheless, he writes a story that introduces certain innovative elements in the rather repetitive and seemingly outworn genre, like the idea of a language-borne virus. Burgess, who has a graduate degree in semiotics, was by his own admission “insufferably preoccupied with literary malformations” when he wrote the book. As a matter of fact his narrative tackles issues – albeit superficially and always entertainingly – that seem to stem from the theories which originated in the field of linguistics around the second half of the twentieth century. It goes without saying that translating – as much as reading – such a book is both a difficult and compelling operation. As a translator you are required to constantly shift from one strategy to another, paying great attention to the semantic nuances of the written words whilst keeping in mind what the actual intention of the text is. Together with the book translation, this dissertation offers a brief introduction to the fundamental principles of translation and a detailed analysis of some of the translation problems posed by the novel.

Detecting social patterns within 20th century documentary photos: a deep learning based approach

The job of a historian is to understand what happened in the past, resorting in many cases to written documents as a firsthand source of information. Text, however, does not amount to the only source of knowledge. Pictorial representations, in fact, have also accompanied the main events of the historical timeline. In particular, the opportunity of visually representing circumstances has bloomed since the invention of photography, with the possibility of capturing in real-time the occurrence of a specific events. Thanks to the widespread use of digital technologies (e.g. smartphones and digital cameras), networking capabilities and consequent availability of multimedia content, the academic and industrial research communities have developed artificial intelligence (AI) paradigms with the aim of inferring, transferring and creating new layers of information from images, videos, etc. Now, while AI communities are devoting much of their attention to analyze digital images, from an historical research standpoint more interesting results may be obtained analyzing analog images representing the pre-digital era. Within the aforementioned scenario, the aim of this work is to analyze a collection of analog documentary photographs, building upon state-of-the-art deep learning techniques. In particular, the analysis carried out in this thesis aims at producing two following results: (a) produce the date of an image, and, (b) recognizing its background socio-cultural context,as defined by a group of historical-sociological researchers. Given these premises, the contribution of this work amounts to: (i) the introduction of an historical dataset including images of “Family Album” among all the twentieth century, (ii) the introduction of a new classification task regarding the identification of the socio-cultural context of an image, (iii) the exploitation of different deep learning architectures to perform the image dating and the image socio-cultural context classification.