Song of the sea: proposta di sottotitolaggio e fansubbing a confronto

The aim of this thesis is to subtitle and analyze the subtitles of the animation movie directed by the Tomm Moore, Song of the Sea. It deals with the adventures of Saoirse, the last of the selkies, the mythological women who turned into seals, and his brother Ben to save the fairies and send them home. Although Italy is a “dubbing country”, I decided to subtitle the film not to affect the original audio track, as the Irish accent and Celtic melodies are a fundamental element in Song of the Sea. I chose this movie because it is a quality product (nominated in 2015 for "The Best Animation Movie”) which deserves to be commercialized outside film festivals. In a second phase, I analyzed my subtitles and compared them to amateur subtitles, created by the SRT Project group, to understand the strategies adopted and the basic differences between the two types of subtitling. My dissertation consists of three chapters. The first provides a general overview of audiovisual translation and language transfer methods, focusing on subtitling. The second chapter introduces the movie in an Irish context, and then analyzes the subtitling process, from the software used, to the translation strategies adopted. Finally, the third chapter describes the phenomenon of amateur subtitling, and the most important Italian communities of the current years. Moreover, I analyzed SRT Project fan translation, and asked them a set of questions about amateur subtitling and the translation of Song of the Sea, in order to understand this world and the fansubbing process. The Appendix includes my subtitles, as well as the questionnaire.

Study of a wind-wave numerical model and its integration with ocean and oil-spill numerical models

The ability to represent the transport and fate of an oil slick at the sea surface is a formidable task. By using an accurate numerical representation of oil evolution and movement in seawater, the possibility to asses and reduce the oil-spill pollution risk can be greatly improved. The blowing of the wind on the sea surface generates ocean waves, which give rise to transport of pollutants by wave-induced velocities that are known as Stokes’ Drift velocities. The Stokes’ Drift transport associated to a random gravity wave field is a function of the wave Energy Spectra that statistically fully describe it and that can be provided by a wave numerical model. Therefore, in order to perform an accurate numerical simulation of the oil motion in seawater, a coupling of the oil-spill model with a wave forecasting model is needed. In this Thesis work, the coupling of the MEDSLIK-II oil-spill numerical model with the SWAN wind-wave numerical model has been performed and tested. In order to improve the knowledge of the wind-wave model and its numerical performances, a preliminary sensitivity study to different SWAN model configuration has been carried out. The SWAN model results have been compared with the ISPRA directional buoys located at Venezia, Ancona and Monopoli and the best model settings have been detected. Then, high resolution currents provided by a relocatable model (SURF) have been used to force both the wave and the oil-spill models and its coupling with the SWAN model has been tested. The trajectories of four drifters have been simulated by using JONSWAP parametric spectra or SWAN directional-frequency energy output spectra and results have been compared with the real paths traveled by the drifters.