Proposta di sottotitolaggio e analisi di un episodio della serie Game of Thrones

Lo scopo della seguente tesi è di presentare una proposta e analisi di sottotitolaggio dell’episodio Blackwater della seconda stagione della serie Game of Thrones. A spingermi a scegliere questo tema è stata la mia passione per la serie e la saga di libri da cui è stata adattata e il desiderio di redigerne i sottotitoli. È stata un’esperienza utile e stimolante perché mi ha dato la possibilità di mettere in pratica le nozioni teoriche acquisite durante questi anni di studio. Il mio lavoro si sviluppa in tre capitoli e un’appendice. Il primo capitolo è dedicato alla contestualizzazione dell’episodio. Nel secondo capitolo sono analizzati gli aspetti tecnici della traduzione multimediale e del sottotitolaggio. Il terzo capitolo contiene l’analisi delle principali difficoltà incontrate nel processo traduttivo, mentre l’appendice contiene la tabella dei sottotitoli sia in inglese sia in italiano.

The role of language in tv shows and its impact on the audience: A linguistic analysis of Game of Thrones

Through the analysis of American TV show Game of Thrones, this dissertation will focus on the linguistic issues concerning the adaptation from books to television, the power of language over the audience, and the creation of two languages, with all the linguistic and cultural implications related to this phenomenon.

Implementation of a non ground meta interpreter for defeasible logic

Human reasoning is a fascinating and complex cognitive process that can be applied in different research areas such as philosophy, psychology, laws and financial. Unfortunately, developing supporting software (to those different areas) able to cope such as complex reasoning it’s difficult and requires a suitable logic abstract formalism. In this thesis we aim to develop a program, that has the job to evaluate a theory (a set of rules) w.r.t. a Goal, and provide some results such as “The Goal is derivable from the KB5 (of the theory)”. In order to achieve this goal we need to analyse different logics and choose the one that best meets our needs. In logic, usually, we try to determine if a given conclusion is logically implied by a set of assumptions T (theory). However, when we deal with programming logic we need an efficient algorithm in order to find such implications. In this work we use a logic rather similar to human logic. Indeed, human reasoning requires an extension of the first order logic able to reach a conclusion depending on not definitely true6 premises belonging to a incomplete set of knowledge. Thus, we implemented a defeasible logic7 framework able to manipulate defeasible rules. Defeasible logic is a non-monotonic logic designed for efficient defeasible reasoning by Nute (see Chapter 2). Those kind of applications are useful in laws area especially if they offer an implementation of an argumentation framework that provides a formal modelling of game. Roughly speaking, let the theory is the set of laws, a keyclaim is the conclusion that one of the party wants to prove (and the other one wants to defeat) and adding dynamic assertion of rules, namely, facts putted forward by the parties, then, we can play an argumentative challenge between two players and decide if the conclusion is provable or not depending on the different strategies performed by the players. Implementing a game model requires one more meta-interpreter able to evaluate the defeasible logic framework; indeed, according to Göedel theorem (see on page 127), we cannot evaluate the meaning of a language using the tools provided by the language itself, but we need a meta-language able to manipulate the object language8. Thus, rather than a simple meta-interpreter, we propose a Meta-level containing different Meta-evaluators. The former has been explained above, the second one is needed to perform the game model, and the last one will be used to change game execution and tree derivation strategies.