Le collocazioni in traduzione e interpretazione tra italiano e inglese: Uno studio su eptic_01_2011

The aim of this dissertation is to investigate the differences in the phraseological patterns used by Italian and English translators and interpreters through the intermodal corpus EPTIC_01_2011. First, the most important studies and theories about corpus linguistics and collocations are introduced. After defining the notion of “corpus”, the different types of corpora are categorised, giving particular attention to the intermodal one. Then the dissertation focuses on a description of collocations, as defined by the main linguistics scholars, and it describes some attempts to apply corpus linguistics to the study of collocations. Secondly, EPTIC_01_2011 is presented, with a description of its structure and of the text editing process carried out applying specific editing conventions and adding a set of metadata before each text. The analysis of collocation candidate bigrams (adjective+noun/noun+adjective) from a quantitative point of view, was conducted applying a methodology adapted from Durrant and Schmitt (2009). Qualitative analysis was also performed on a subsection of the data. The results of the study are presented through examples and graphs, giving particular attention to the interpretation of the data analysed from a qualitative perspective. Finally, results are summarised and categorised, and suggestions are made concerning the diverging choices made in translation and interpreting. The final section concentrates on further studies that could be carried out in the future, as well as on suggestions for corpus enlargement.

Dynamic networks, text analysis and Gephi: the art math

In numerosi campi scientici l'analisi di network complessi ha portato molte recenti scoperte: in questa tesi abbiamo sperimentato questo approccio sul linguaggio umano, in particolare quello scritto, dove le parole non interagiscono in modo casuale. Abbiamo quindi inizialmente presentato misure capaci di estrapolare importanti strutture topologiche dai newtork linguistici(Degree, Strength, Entropia, . . .) ed esaminato il software usato per rappresentare e visualizzare i grafi (Gephi). In seguito abbiamo analizzato le differenti proprietà statistiche di uno stesso testo in varie sue forme (shuffolato, senza stopwords e senza parole con bassa frequenza): il nostro database contiene cinque libri di cinque autori vissuti nel XIX secolo. Abbiamo infine mostrato come certe misure siano importanti per distinguere un testo reale dalle sue versioni modificate e perché la distribuzione del Degree di un testo normale e di uno shuffolato abbiano lo stesso andamento. Questi risultati potranno essere utili nella sempre più attiva analisi di fenomeni linguistici come l'autorship attribution e il riconoscimento di testi shuffolati.

Entity extraction e text classification come strumenti per la sentiment analysis di testi giornalistici

In this thesis we are going to talk about technologies which allow us to approach sentiment analysis on newspapers articles. The final goal of this work is to help social scholars to do content analysis on big corpora of texts in a faster way thanks to the support of automatic text classification.

Satellite IoT: a Study and Performance Analysis of GEO and LEO Systems

The study is divided into two main part: one focused on the GEO Satellite IoT and the other on the LEO Satellite IoT. Concerning the GEO Satellite IoT, the activity has been developed in the context of EUMETSAT Data Collection Service (DCS) by investigating the performance at the receiver within challenging scenarios. DCS are provided by several GEO Satellite operators, giving almost total coverage around the world. In this study firstly an overview of the DCS end-to-end architecture is given followed by a detailed description of both the tools used for the simulations: the DCP-TST (message generator and transmitter) and the DCP-RX (receiver). After generating several test messages, the performances have been evaluated with the addition of impairments (CW and sweeping interferences) and considerations in terms of BER and Good Messages are produced. Furthermore, a study on the PLL System is also conducted together with evaluations on the effectiveness of tuning the PLL Bw on the overall performance. Concerning the LEO Satellite IoT, the activity was carried out in the framework of the ASI Bidirectional IoT Satellite Service (BISS) Project. The elaborate covers a survey about the possible services that the project can accomplish and a technical analysis on the uplink MA. In particular, the LR-FHSS is proved to be a valid alternative for the uplink through an extensive analysis on its Network capacity and through the study of an analytic model for Success Probability with its Matlab implementation.

GUI design for in-car message diagnosis

Electronics needs communication to serve the vehicular world, to let all ECUs to com- municate with each other are needed buses, each bus serves different stuffs and is able to communicate. In the evolution of automotive architecture, integration of multiple func- tionalities in a single ECU will be one of the key aspects. The analysis of in-vehicle data, both for diagnosis and study-case of a particular behaviour, is the basis for future’s technologies and applications. Starting from these ideas, the need of creating a correlation between the Vehicle state and the anomaly. In order to create a link among them, has been created an interface able to simplify the in-car diagnosis and creating a link among vehicle stateand anomaly, looking also to the study-case of the driver's behaviour.