Il linguaggio valutativo nel bilancio di sostenibilità: analisi trilingue basata su corpora

The aim of this dissertation is to analyze the language of evaluation in Italian, English and French sustainability reports in order to observe how firms build their corporate image and to investigate the kind of relationship they develop with their stakeholders. The analysis is carried out by applying Martin & White's Appraisal theory and corpus linguistics methods. For the purposes of this research, a multilingual specialized corpus of sustainability reports has been created, which is the result of two different levels of compilation. At the first level, three sub-corpora have been created with the aim of representing three different languages (Italian, English and French): at this level, the research on evaluative language will show that a standardization process of sustainability reports is underway. At the second level of compilation, each of the three sub-corpora has been split in two further sub-corpora, representative of two different business sectors: at this level, the research will show how the sector where firms operate directly influences the choice of the topics to be discussed. The first chapter of this dissertation introduces the concept of evaluative language, with a particular focus on the framework of Appraisal theory. The second chapter deals with corpus linguistics and describes different types of corpora, the search methods and the criteria for the compilation of corpora. The third chapter discusses the concepts of Corporate Social Responsibility and sustainability reports, focusing mainly on the reporting principles and the linguistic patterns of this genre, and provides an overview of the main guidelines and certifications for the reporting of sustainability actions. Chapter four is dedicated to the description of the methodology used for this research, while the last chapter presents and discusses the results of the analysis, in an attempt to draw generalizations on the use of evaluative language in this emerging genre.

Bitext alignment: building and evaluating a bilingual corpus and translation memory of academic course descriptions

Following the internationalization of contemporary higher education, academic institutions based in non-English speaking countries are increasingly urged to produce contents in English to address international prospective students and personnel, as well as to increase their attractiveness. The demand for English translations in the institutional academic domain is consequently increasing at a rate exceeding the capacity of the translation profession. Resources for assisting non-native authors and translators in the production of appropriate texts in L2 are therefore required in order to help academic institutions and professionals streamline their translation workload. Some of these resources include: (i) parallel corpora to train machine translation systems and multilingual authoring tools; and (ii) translation memories for computer-aided tools. The purpose of this study is to create and evaluate reference resources like the ones mentioned in (i) and (ii) through the automatic sentence alignment of a large set of Italian and English as a Lingua Franca (ELF) institutional academic texts given as equivalent but not necessarily parallel (i.e. translated). In this framework, a set of aligning algorithms and alignment tools is examined in order to identify the most profitable one(s) in terms of accuracy and time- and cost-effectiveness. In order to determine the text pairs to align, a sample is selected according to document length similarity (characters) and subsequently evaluated in terms of extent of noisiness/parallelism, alignment accuracy and content leverageability. The results of these analyses serve as the basis for the creation of an aligned bilingual corpus of academic course descriptions, which is eventually used to create a translation memory in TMX format.

Analisi del film L'appartamento spagnolo: multilinguismo e comunicazione interculturale

The present research study focuses on intercultural communication and how its dynamics are portrayed in the Italian version of the movie L’appartamento spagnolo (original title: L’auberge espagnol) by Cédric Klapisch. The first chapter introduces the movie in all its main features, such as plot, setting, characters, languages, main themes, and sequels. The second chapter focuses on the dynamics of intercultural communication through the analysis of the most representative scenes of the movie. It is worth noting that the notion of intercultural communication comprises a lot of different kinds of communication, meaning not only communication among people coming from different countries and speaking a different language, but also among different generations, people with different social backgrounds, with a different social status, etc. However, language is indeed crucial to mutual understanding and it plays a fundamental role in communication. For this reason, the third chapter focuses on the multilingual dimension of the movie, since the issue of intercultural communication is also conveyed through a variety of languages. The aim is to analyze the different strategies used in the Italian dubbed version in order to manage the presence of different languages and to examine how such strategies affect the overall consistency of the dialogues and the effect achieved on the audience.

"Dar voce a una voce": diversità e rappresentazione nella letteratura young adult. Proposta di traduzione di Gabi, a Girl in Pieces di Isabel Quintero.

In this dissertation, I will present my translation into Italian of several excerpts from Gabi, A Girl in Pieces, a young adult (YA) novel by Mexican-American author Isabel Quintero, along with examining the issues of diversity and representation in YA literature. This study aims to demonstrate the benefits of multicultural literature for young readers and the importance of publishing stories that reflect the diversity of the world we inhabit. The translation of the novel is accompanied by an analysis of its social, cultural, and literary context. The first chapter provides an overview of Chican@ history, literature, and culture, focusing on the concepts of identity and hybridity. The second chapter describes YA literature and its characteristics, outlines its history, and discusses the value of diverse books in the lives of teenage readers. Additionally, it cites relevant studies and statistics proving the dearth of diverse literature for young readers in the United States. The third chapter focuses specifically on the representation of Latin@s and Chican@s in literature for young readers, examining the main stereotypes that have plagued the depiction of this community and the new perspectives offered by Mexican-American YA authors. In the fourth chapter, I introduce Isabel Quintero and her novel Gabi, A Girl in Pieces, analyzing its plot, style, format, and main themes. In the fifth chapter, I provide my translation, which is then analyzed in the sixth and final chapter. The translation commentary details some of the problems I encountered and the strategies I applied. The sixth chapter also includes some observations on the translation of teenage speech, of multilingual texts, and of children’s and YA literature.

Translanguaging in linguistic mediation

Translanguaging is quite common both in bilingual conversation and in interpreted discourse and poses challenges that mediators need to address in their work, training, and in the theoretical study of this activity. The impact of translanguaging on communication is very significant and affects the nature and workings of conversational exchanges, the identity of multilinguals, and the concept of language. This paper will examine how this plays a role in interaction and, specifically, in interpreter-mediated communication, arguing that linguistic and cultural mediation should consider such multilingual practices.

Hierarchical Multi-Label Text Classification in a Low-Resource Setting

In this thesis we address a multi-label hierarchical text classification problem in a low-resource setting and explore different approaches to identify the best one for our case. The goal is to train a model that classifies English school exercises according to a hierarchical taxonomy with few labeled data. The experiments made in this work employ different machine learning models and text representation techniques: CatBoost with tf-idf features, classifiers based on pre-trained models (mBERT, LASER), and SetFit, a framework for few-shot text classification. SetFit proved to be the most promising approach, achieving better performance when during training only a few labeled examples per class are available. However, this thesis does not consider all the hierarchical taxonomy, but only the first two levels: to address classification with the classes at the third level further experiments should be carried out, exploring methods for zero-shot text classification, data augmentation, and strategies to exploit the hierarchical structure of the taxonomy during training.