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.

Premio "Capitale verde europea". Studio di una politica dell'Unione europea in tema di sostenibilità ambientale con approfondimento terminologico sul minieolico.

This dissertation is divided into four chapters and combines the study of the European Green Capital Award with a terminology research on small wind turbines, a technical subject in the macro-area of sustainable cities. Chapter I aims at giving an overview of the development of environmental policies and treaties both at the international and European level. Then, after highlighting the crucial role of cities for the global environment, the chapter outlines the urban dimension of the EU environmental policies and defines the vision of a sustainable city promoted by the European Union. Chapter II contains an in-depth analysis of the European Green Capital Award and illustrates its aims, the entire designation process, its communication campaign and its evolution. Chapter III focuses on applicant, finalist and winning cities in order to study the aspect of participation in the competition. It also contains a detailed analysis of two European Green Capitals, i.e. Nantes and Bristol, who respectively won the title in 2013 and 2015. Based on a variety of sources, this chapter examines the successful aspects of their bids and communication campaigns during their year as Green Capitals. Chapter IV presents the terminology research in the field of small wind turbines and the resulting bilingual glossary in English and Italian. The research was carried out using two terminology tools: TranslatorBank and InterpretBank. The former is composed by two software programmes, CorpusCreator and MiniConcordancer DB, which were used to semi-automatically create specialized corpora from the Web and then extract terminology and occurrences of terms from the collected texts. The latter is a software which has been specifically designed for interpreters in order to help them optimize their professional workflow, from gathering information and creating glossaries on a specific subject to the actual interpreting task at a conference. InterpretBank’s tool TermMode was used to create a glossary with term equivalents and additional information such as definitions and the contexts of use.