No(i)rthern Ireland: Crime fiction and the northern-irish scene. Proposed translation into italian of two short stories from "belfast noir"

The present thesis aims at proving the importance of cultural and literary contexts in the practice of translation: I shall show that, in the case of Northern Irish crime fiction, knowledge of both Northern Irish history and culture as well as of the genre of crime fiction are essential prerequisites for the production of a “responsible” translation. I will therefore offer a brief overview of the history of crime and detective fiction and its main subgenres; some of the most important authors and works will be presented as well, in an analysis that goes from the early years of the genre to the second half of the 20th century. I will then move the focus to Northern Ireland, its culture and its history, and particular attention will be paid to fiction writing in Ireland and Northern Ireland, with a focus on the peculiar phenomenon of “Troubles Trash”. I will tackle the topic of Northern Irish literature and present the contemporary scene of Northern Irish crime fiction; the volume from which the texts for the translation have been taken will be presented, namely Belfast Noir. Subsequently the focus will move on the theoretical framework within which the translations were produced: I will present a literary review of the most significative developments in Translation Studies, with particular attention to the “cultural turn” that has characterised this subject since the 1960s. I will then highlight the phenomenon of “realia” in translation and analyse the approaches of different scholars to the translation of culture-bound references. The final part represents the culmination and practical application of all that was presented in the previous sections: I will discuss the translation of culture-bound references according to the strategies presented in Chapter 4, referring to the proposed translations of two stories. Such analysis aims to show that not only expert linguistic knowledge, but also cultural awareness and a wide literary background are needed in order to make conscious choices in translation.

Active Translation into English and Italian of Hosseini's adaptation of the Persian epic,"Shahname"

This thesis proposes a translation from Persian into Italian and English of an ancient Persian epic called Shahname, or literally “The Book of Kings,” by Ferdosi, first published in the 11th century CE. The translation proposed, however, is not based on the original book by Ferdosi, which is written all in verse, but rather, an edited, shorter, and simplified version written in prose, by Mohamad Hosseini, first published in 2013. Nonetheless, in his version, Hosseini included some of the verses from the original poems in order to show the value and the beauty of Ferdosi’s writing. Many translations of Ferdosi’s book have been made into English, but only one translation has been made into Italian, by one Italo Pizzi, in 8 volumes, all in verse, in 1886. This thesis analyses and discusses the choices made for the two translations presented into English and Italian. My project is not only to propose translations of Hosseini’s version, but to also introduce the reader to the Persian culture, and to the life of the most famous Iranian epic writer, Ferdosi, and his masterpiece, Shahname.

Frenitalianese in Montreal: when French, Italian and English collide

La tesi approfondisce le origini della lingua francese e inglese approdate sulle coste canadesi con Jacques Cartier e i colonizzatori britannici. Un ulteriore cambiamento linguistico si osserva con l’arrivo delle ondate di immigrati provenienti da diversi paesi, tra di loro anche moltissimi italiani. Un cambiamento importante ha coinvolto la lingua parlata dagli immigrati italiani sbarcati a Montreal negli anni ’60. Una commistione di dialetti ha dato vita, in definitiva, ad una lingua ibrida: l’Italianese. L’analisi per generazione ha, in seguito, permesso di osservare l’evoluzione e l’involuzione dei rapporti tra italiano, inglese e francese, con la creazione di parlate uniche che non possono essere scisse né dalla cultura di partenza, quella italiana, né da quelle di arrivo (inglese e francese). Ogni generazione ha sviluppato, in maniera originale, un particolare rapporto sui tre diversi fronti linguistici con i quali si confronta ogni giorno e le soluzioni trovate sono del tutto inaspettate e straordinarie. Si può notare, infine, come il rapporto con la lingua italiana sembra affievolirsi nei più giovani e nella più acerba quarta generazione. Solo il passare del tempo, però, potrà rivelarci cosa ne sarà della lingua italiana parlata a Montreal.

Conceptualization of an Electric Compact SUV for the American and Italian Market using the IDeS Method

Electric cars are increasingly popular due to a transition of mobility towards more sustainable forms. From an increasingly green and pollution reduction perspective, there are more and more incentives that encourage customers to invest in electric cars. Using the Industrial Design and Structure (IDeS) research method, this project has the aim to design a new electric compact SUV suitable for all people who live in the city, and for people who move outside urban areas. In order to achieve the goal of developing a new car in the industrial automotive environment, the compact SUV segment was chosen because it is a vehicle very requested by the costumers and it is successful in the market due to its versatility. IDeS is a combination of innovative and advanced systematic approaches used to set up a new industrial project. The IDeS methodology is sequentially composed of Quality Function Deployment (QFD), Benchmarking (BM), Top-Flop analysis (TFA), Stylistic Design Engineering (SDE), Design for X, Prototyping, Testing, Budgeting, and Planning. The work is based on a series of steps and the sequence of these must be meticulously scheduled, imposing deadlines along the work. Starting from an analysis of the market and competitors, the study of the best and worst existing parameters in the competitor’s market is done, arriving at the idea of a better product in terms of numbers and innovation. After identifying the characteristics that the new car should have, the other step is the styling part, with the definition of the style and the design of the machine on a 3D CAD. Finally, it switches to the prototyping and testing phase to see if the product is able to work. Ultimately, intending to place the car on the market, it is essential to estimate the necessary budget for a possible investment in this project.

Neural Machine Translation in the Field of Law. Analysis and Evaluation against Human Reference of NMT Raw Outputs of an Atto Costitutivo of S.r.l. from Italian into German.

Artificial Intelligence (AI) is gaining ever more ground in every sphere of human life, to the point that it is now even used to pass sentences in courts. The use of AI in the field of Law is however deemed quite controversial, as it could provide more objectivity yet entail an abuse of power as well, given that bias in algorithms behind AI may cause lack of accuracy. As a product of AI, machine translation is being increasingly used in the field of Law too in order to translate laws, judgements, contracts, etc. between different languages and different legal systems. In the legal setting of Company Law, accuracy of the content and suitability of terminology play a crucial role within a translation task, as any addition or omission of content or mistranslation of terms could entail legal consequences for companies. The purpose of the present study is to first assess which neural machine translation system between DeepL and ModernMT produces a more suitable translation from Italian into German of the atto costitutivo of an Italian s.r.l. in terms of accuracy of the content and correctness of terminology, and then to assess which translation proves to be closer to a human reference translation. In order to achieve the above-mentioned aims, two human and automatic evaluations are carried out based on the MQM taxonomy and the BLEU metric. Results of both evaluations show an overall better performance delivered by ModernMT in terms of content accuracy, suitability of terminology, and closeness to a human translation. As emerged from the MQM-based evaluation, its accuracy and terminology errors account for just 8.43% (as opposed to DeepL’s 9.22%), while it obtains an overall BLEU score of 29.14 (against DeepL’s 27.02). The overall performances however show that machines still face barriers in overcoming semantic complexity, tackling polysemy, and choosing domain-specific terminology, which suggests that the discrepancy with human translation may still be remarkable.