Come tradurre il metadiscorso letterario. Esempi di scrittura femminile nell'Ottocento austriaco

L’argomento affrontato nel presente lavoro di tesi dal titolo “Come tradurre il metadiscorso letterario. Esempi di scrittura femminile nell’Ottocento austriaco” è la versione interlinguistica di testi saggistici afferenti all’ambito del metadiscorso letterario. Nello specifico, non vengono analizzati testi di critica e/o metodologia ma scritti funzionali, di forte carattere pragmatico, che pur tuttavia rientrano tra le testimonianze di alta caratura letteraria, perché dovuti ad autrici che hanno fatto dell’espressione estetica la propria finalità primaria. I materiali scelti per l’analisi linguistico-testuale, compresi in un arco temporale tra la fine del Settecento e la metà dell’Ottocento, sono realizzati da donne che hanno operato in ambito teatrale facendo dell’attività di scrittura lo strumento della propria emancipazione intellettuale ed economica. La necessità di trovare una via alla pubblicazione le ha indotte a strategie di scrittura connotate da particolari stilemi e artifici retorici atti a favorire l’accettazione e la diffusione delle proposte editoriali di cui questi “paratesti” costituivano il momento giustificante. Il “lavoro di penna” è un’esperienza che viene ad assumere molteplici contorni, non privi di ricadute al momento della scelta delle strategie traduttive. Dal punto di vista formale, le testimonianze si collocano in una zona di modalità espressiva contigua alla testimonianza autobiografica. Il periodo storico e l’area di provenienza delle autrici hanno reso necessario un approccio capace di incrociare il piano diacronico con la dimensione diatopica, rendendo conto delle componenti diamesiche di una scrittura che nasce dal teatro per il teatro e ad esso e ai suoi frequentatori deve rapportarsi. Il modello traduttologico applicato ricava le sue linee fondamentali dalle riflessioni della linguistica testuale e dall’approccio integrato/multidisciplinare della “prototipologia dinamica”.

Trasmission and Reflection (ATR)Far-Infrared Spectroscopy Applied in the Analysis of Cultural Heritage Materials

FIR spectroscopy is an alternative way of collecting spectra of many inorganic pigments and corrosion products found on art objects, which is not normally observed in the MIR region. Most FIR spectra are traditionally collected in transmission mode but as a real novelty it is now also possible to record FIR spectra in ATR (Attenuated Total Reflectance) mode. In FIR transmission we employ polyethylene (PE) for preparation of pellets by embedding the sample in PE. Unfortunately, the preparation requires heating of the PE in order to produces at transparent pellet. This will affect compounds with low melting points, especially those with structurally incorporated water. Another option in FIR transmission is the use of thin films. We test the use of polyethylene thin film (PETF), both commercial and laboratory-made PETF. ATR collection of samples is possible in both the MIR and FIR region on solid, powdery or liquid samples. Changing from the MIR to the FIR region is easy as it simply requires the change of detector and beamsplitter (which can be performed within a few minutes). No preparation of the sample is necessary, which is a huge advantage over the PE transmission method. The most obvious difference, when comparing transmission with ATR, is the distortion of band shape (which appears asymmetrical in the lower wavenumber region) and intensity differences. However, the biggest difference can be the shift of strong absorbing bands moving to lower wavenumbers in ATR mode. The sometimes huge band shift necessitates the collection of standard library spectra in both FIR transmission and ATR modes, provided these two methods of collecting are to be employed for analyses of unknown samples. Standard samples of 150 pigment and corrosion compounds are thus collected in both FIR transmission and ATR mode in order to build up a digital library of spectra for comparison with unknown samples. XRD, XRF and Raman spectroscopy assists us in confirming the purity or impurity of our standard samples. 24 didactic test tables, with known pigment and binder painted on the surface of a limestone tablet, are used for testing the established library and different ways of collecting in ATR and transmission mode. In ATR, micro samples are scratched from the surface and examined in both the MIR and FIR region. Additionally, direct surface contact of the didactic tablets with the ATR crystal are tested together with water enhanced surface contact. In FIR transmission we compare the powder from our test tablet on the laboratory PETF and embedded in PE. We also compare the PE pellets collected using a 4x beam condenser, focusing the IR beam area from 8 mm to 2 mm. A few samples collected from a mural painting in a Nepalese temple, corrosion products collected from archaeological Chinese bronze objects and samples from a mural paintings in an Italian abbey, are examined by ATR or transmission spectroscopy.

Scene Reconstruction And Understanding By RGB-D Sensors

This thesis investigates interactive scene reconstruction and understanding using RGB-D data only. Indeed, we believe that depth cameras will still be in the near future a cheap and low-power 3D sensing alternative suitable for mobile devices too. Therefore, our contributions build on top of state-of-the-art approaches to achieve advances in three main challenging scenarios, namely mobile mapping, large scale surface reconstruction and semantic modeling. First, we will describe an effective approach dealing with Simultaneous Localization And Mapping (SLAM) on platforms with limited resources, such as a tablet device. Unlike previous methods, dense reconstruction is achieved by reprojection of RGB-D frames, while local consistency is maintained by deploying relative bundle adjustment principles. We will show quantitative results comparing our technique to the state-of-the-art as well as detailed reconstruction of various environments ranging from rooms to small apartments. Then, we will address large scale surface modeling from depth maps exploiting parallel GPU computing. We will develop a real-time camera tracking method based on the popular KinectFusion system and an online surface alignment technique capable of counteracting drift errors and closing small loops. We will show very high quality meshes outperforming existing methods on publicly available datasets as well as on data recorded with our RGB-D camera even in complete darkness. Finally, we will move to our Semantic Bundle Adjustment framework to effectively combine object detection and SLAM in a unified system. Though the mathematical framework we will describe does not restrict to a particular sensing technology, in the experimental section we will refer, again, only to RGB-D sensing. We will discuss successful implementations of our algorithm showing the benefit of a joint object detection, camera tracking and environment mapping.