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    Studying figurative language in simultaneous interpreting: the IMITES corpus

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    The translation of figurative language has always been a major issue and, often, a problem in the translation process. But what happens when a choice on how to translate a figurative item needs to be made in a fraction of a second? The natural difficulties in the translation process of figurative expressions become even more complicated when applied to the simultaneous interpreting process. Samaniego Fernández (2011: 263) claims that “the proper task of translation theory would not be to specify how metaphor should be translated, but to describe and account for actual renderings of metaphors”. Believing that the same claim can be made as regards Interpreting Studies, the IMITES (Interpretación de la Metáfora entre ITaliano y ESpañol) project was devised to study how professional interpreters actually deal with metaphors. The IMITES data set includes a total of 23 original speeches (287 minutes) delivered in Italian and Spanish at conferences held at the European Commission, and their interpreted versions in Spanish and Italian respectively (287 minutes). 1135 figurative expressions were extracted from IMITES and aligned and compared with the interpreters’ renditions. The purpose of this paper is to describe the results yielded by the analysis of IMITES, with the twofold goal of a) analysing the interpreting strategies applied by professionals, such as those working for the Directorate General for Interpretation (SCIC) of the European Commission, when interpreting figurative expressions; and b) understanding which kind of figurative expressions cause most problems for interpreters

    Preface

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    This volume serves a dual purpose. On the one hand, it aims at promoting the understanding of the interpretation process and product based not on anecdotal observations or small-size case-studies, but on comparatively large datasets of professional interpretations mostly stored and queried according to standard corpus linguistics methodologies.On the other hand, the volume is also intended as a renewed call (after Miriam Shlesinger’s first call in 1998) to the research community to further develop the field of corpus-based interpreting studies by offering scholars more corpus-based data and methodologies to compile their own corpora according to their research designs. This volume consists of 11 chapters. The first two are meant to provide the theoretical framework of corpus-based interpreting studies (CIS), focusing on their development and on procedural-methodological issues respectively, while the other nine chapters present the insightful results obtained by analyzing professional interpreters’ performances from this promising corpus-based perspective

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The 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

    Preface

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    Preface to the volume Making Way in Corpus-based Interpreting Studies with selected contributions from the first Forlì international workshop on corpus-based interpreting research

    Variations on the Author

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    “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

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    We 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

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    We 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

    Author Index

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