1,720,959 research outputs found
Metodi e ambiti nella ricerca sulla traduzione, l’interpretazione e l’interculturalità // Research Methods and Themes in Translation, Interpreting and Intercultural Studies
No full textQuesto numero monografico della rivista MediAzioni intende fornire una panoramica su alcuni ambiti e metodologie di ricerca inerenti gli studi sulla traduzione, l’interpretazione e l’interculturalità, oltre a illustrarne alcuni dei risultati più significativi raggiunti negli ultimi anni. A un tempo raccolta di saggi critico-teorici, manuale e rassegna di esperienze di ricerca, questo numero si rivolge innanzitutto a giovani ricercatrici e ricercatori che muovono i primi passi in questi ambiti, ma anche a studiose e studiosi più esperti che intendano ampliare la propria prospettiva in un’ottica di interdisciplinarietà. Il progetto di questo volume nasce dall’esperienza di un corso di metodologia della ricerca tenuto presso il Dipartimento di Interpretazione e Traduzione dell’Università di Bologna, Campus di Forlì. Il volume si suddivide in due parti principali. La prima (parte A) è incentrata su alcune metodologie per la raccolta e l’analisi di dati negli studi sulla traduzione, l’interpretazione e l’interculturalità, nonché sullo stato attuale della ricerca in questi ambiti, mentre la seconda (parte B) è dedicata a studi di caso
Assessing the Use of Terminology in Phrase-Based Statistical Machine Translation for Academic Course Catalogue Translation
Full text linkIn this contribution we describe an approach to evaluate the use of terminology in a phrase-based machine translation system to translate course unit descriptions from Italian into English. The genre is very prominent among those requiring translation by universities in European countries where English is not a native language. Two MT engines are trained on an in-domain bilingual corpus and a subset of the Europarl corpus, and one of them is enhanced adding a bilingual termbase to its training data. Overall systems’ performance is assessed through the BLEU score, whereas the f-score is used to focus the evaluation on term translation. Furthermore, a manual analysis of the terms is carried out. Results suggest that in some cases - despite the simplistic approach implemented to inject terms into the MT system - the termbase was able to bias the word choice of the engine
MAGMATic: A Multi-domain Academic Gold Standard with Manual Annotation of Terminology for Machine Translation Evaluation
Full text linkThis paper presents MAGMATic (Multidomain Academic Gold Standard with Manual Annotation of Terminology), a novel Italian–English benchmark which allows MT evaluation focused on terminology translation. The data set comprises 2,056 parallel sentences extracted from institutional academic texts, namely course unit and degree program descriptions. This text type is particularly interesting since it contains terminology from multiple domains, e.g. education and different academic disciplines described in the texts. All terms in the English target side of the data set were manually identified and annotated with a domain label, for a total of 7,517 annotated terms. Due to their peculiar features, institutional academic texts represent an interesting test bed for MT. As a further contribution of this paper, we investigate the feasibility of exploiting MT for the translation of this type of documents. To this aim, we evaluate two stateof-the-art Neural MT systems on MAGMATic, focusing on their ability to translate domain-specific terminology
Do translator trainees trust machine translation? An experiment on post-editing and revision
Full text linkDespite the importance of trust in any work environment, this concept has rarely been investigated for MT. The present contribution aims at filling this gap by presenting a post-editing experiment carried out with translator trainees. An institutional academic text was translated from Italian into English. All participants worked on the same target text. Half of them were told that the text was a human translation needing revision, while the other half was told that it was an MT output to be postedited. Temporal and technical effort were measured based on words per second and HTER. Results were complemented with a manual analysis of a subset of the observations
Enhancing Machine Translation of Academic Course Catalogues with Terminological Resources
Full text linkThis paper describes an approach to translating course unit descriptions from Italian and German into English, using a phrase-based machine translation (MT) system. The genre is very prominent
among those requiring translation by universities in European countries in which English is a non-native language. For each language combination, an in-domain bilingual corpus including course unit and degree program descriptions is used to train an MT engine, whose output is then compared to a baseline engine trained on the Europarl corpus. In a subsequent experiment, a bilingual terminology database is added to the training sets in both engines and its impact on the output quality is evaluated based on BLEU and postediting score. Results suggest that the use of domain-specific corpora boosts the engines quality for both language combinations, especially for German-English, whereas adding terminological resources does not seem to bring notable benefit
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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