3 resultados para performativity of speech

em AMS Tesi di Laurea - Alm@DL - Università di Bologna


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Smooth intercultural communication requires very complex tasks, especially when participants are very different in their cultural and linguistic backgrounds: this is the case of native Italian and Japanese speakers. A further difficulty in such a context can be found in the usage of a foreign language not mastered perfectly by speakers, which is the case for Italian intermediate learners of Japanese. The aim of this study is therefore to identify the linguistic difficulties common among Italian learners of Japanese as a foreign language and to further examine the consequences of incorrect pragma-linguistic deliveries in actual conversations. To this end, a series of linguistic aspects selected on the basis of the author's experience have been taken into consideration. Some aspects are expected to be difficult to master because of linguistic differences between Italian and Japanese, while some may be difficult due to their connection to the specific Japanese cultural context. The present study consists of six parts. The Introduction presents the state of the art on the research topic and defines the purpose of this research. Chapter 1 outlines the linguistic aspects of the Japanese language investigated in the study, specifically focusing on the following topics: writing system, phonology, loan words, numbers, ellipsis, levels of speech and honorifics. Chapter 2 presents an overview of the environment of teaching Japanese as a foreign language in the university setting in Italy. In Chapter 3 the first phase of the research is described, i.e. an online survey aimed at identifying the most problematic linguistic aspects. Chapter 4 presents the second phase of this study: a series of oral interactions between Japanese and Italian native speakers, conversing exclusively in Japanese, focusing on the management of misunderstandings with the use of actual linguistic data. The Conclusion outlines the results and possible future developments.

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L’obiettivo del presente lavoro è illustrare la creazione di due corpora bilingui italiano-inglese di libretti d’opera di Giuseppe Verdi, annotati e indicizzati, e descrivere le potenzialità di queste risorse. Il progetto è nato dalla volontà di indagare l’effettiva possibilità di gestione e consultazione di testi poetici tramite corpora in studi translation-driven, optando in particolare per il genere libretto d’opera in considerazione della sua complessità, derivante anche dal fatto che il contenuto testuale è fortemente condizionato dalla musica. Il primo corpus, chiamato LiVeGi, si compone di cinque opere di Giuseppe Verdi e relativa traduzione inglese: Ernani, Il Trovatore, La Traviata, Aida e Falstaff; il secondo corpus, nominato FaLiVe, contiene l’originale italiano dell’opera Falstaff e due traduzioni inglesi, realizzate a circa un secolo di distanza l’una dall’altra. All’analisi del genere libretto e delle caratteristiche principali delle cinque opere selezionate (Capitolo 1), segue una panoramica della prassi traduttiva dei lavori verdiani nel Regno Unito e negli Stati Uniti (Capitolo 2) e la presentazione delle nozioni di Digital Humanities e di linguistica computazionale, all’interno delle quali si colloca il presente studio (Capitolo 3). La sezione centrale (Capitolo 4) presenta nel dettaglio tutte le fasi pratiche di creazione dei due corpora, in particolare selezione e reperimento del materiale, OCR, ripulitura, annotazione e uniformazione dei metacaratteri, part-of-speech tagging, indicizzazione e allineamento, terminando con la descrizione delle risorse ottenute. Il lavoro si conclude (Capitolo 5) con l’illustrazione delle potenzialità dei due corpora creati e le possibilità di ricerca offerte, presentando, a titolo d’esempio, due case study: il linguaggio delle protagoniste tragiche nei libretti di Verdi in traduzione (studio realizzato sul corpus LiVeGi) e la traduzione delle ingiurie nel Falstaff (attraverso il corpus FaLiVe).

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This work focuses on Machine Translation (MT) and Speech-to-Speech Translation, two emerging technologies that allow users to automatically translate written and spoken texts. The first part of this work provides a theoretical framework for the evaluation of Google Translate and Microsoft Translator, which is at the core of this study. Chapter one focuses on Machine Translation, providing a definition of this technology and glimpses of its history. In this chapter we will also learn how MT works, who uses it, for what purpose, what its pros and cons are, and how machine translation quality can be defined and assessed. Chapter two deals with Speech-to-Speech Translation by focusing on its history, characteristics and operation, potential uses and limits deriving from the intrinsic difficulty of translating spoken language. After describing the future prospects for SST, the final part of this chapter focuses on the quality assessment of Speech-to-Speech Translation applications. The last part of this dissertation describes the evaluation test carried out on Google Translate and Microsoft Translator, two mobile translation apps also providing a Speech-to-Speech Translation service. Chapter three illustrates the objectives, the research questions, the participants, the methodology and the elaboration of the questionnaires used to collect data. The collected data and the results of the evaluation of the automatic speech recognition subsystem and the language translation subsystem are presented in chapter four and finally analysed and compared in chapter five, which provides a general description of the performance of the evaluated apps and possible explanations for each set of results. In the final part of this work suggestions are made for future research and reflections on the usability and usefulness of the evaluated translation apps are provided.