Tradurre il fantasy per giovani lettori: "The Explorers' gate" di Chris Grabenstein

The purpose of this thesis is, on the one hand, to illustrate the peculiarities of children’s literature, fantasy fiction and their translation and, on the other hand, to propose a translation from English to Italian of some chapters of the e-book The Explorers’ Gate by American author Chris Grabenstein. The first chapters of this work offer an analysis of different critical studies on children’s literature and fantasy fiction and illustrate the characteristics of these two literary expressions. I will also discuss the different approaches to their translation in order to produce a translated text that is consistent with its literary genre and with translation theories. The third chapter is about the author and includes an interview on his idea of children’s literature and his opinions about translation. The second part of this thesis is represented by the actual translation of the e-book. Firstly, I will analyze the source text, dividing the analysis in extra-textual and intra- textual and focusing on sender, addressee, time and space, function of the text, plot, structure, narrator, style and language used by the author. I will also highlight those elements that probably would be challenging during the translation phase. Secondly, I will explain the macro-strategy that I adopted during the process of translation, which can be defined as child-oriented. In the last chapter I will highlight those passages that represented translation challenges and I will show how I tackled them.

Named Entity Extraction: la piattaforma Gate/Annie

In questo lavoro si introducono i concetti di base di Natural Language Processing, soffermandosi su Information Extraction e analizzandone gli ambiti applicativi, le attività principali e la differenza rispetto a Information Retrieval. Successivamente si analizza il processo di Named Entity Recognition, focalizzando l’attenzione sulle principali problematiche di annotazione di testi e sui metodi per la valutazione della qualità dell’estrazione di entità. Infine si fornisce una panoramica della piattaforma software open-source di language processing GATE/ANNIE, descrivendone l’architettura e i suoi componenti principali, con approfondimenti sugli strumenti che GATE offre per l'approccio rule-based a Named Entity Recognition.