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"Lefer, Marie-Aude"
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The Multilingual Student Translation corpus: a resource for translation teaching and research
The Multilingual Student Translation (MUST) corpus is a corpus of translations produced by foreign language learners or trainee translators collected collaboratively by a large number of partner teams internationally. The corpus represents a prime example of community sourcing, as the data are collected and shared by the members of the MUST network. Two key characteristics of the corpus are that it involves a large number of language pairs and that each text is accompanied by a rich set of standardized metadata related to the source texts, the translation tasks and the students. The web interface on which the corpus is stored allows the data to be aligned and annotated with a purpose-built translation annotation system. The resulting corpus data lend themselves to a range of applications (translator training, materials design, pedagogical lexicography) and can also be used to advance empirical research in corpus-based translation studies.
Journal Article
Simplified or not Simplified? The Different Guises of Mediated English at the European Parliament
In this article we describe a framework for the corpus-based comparative investigation of interpreting and translation, illustrating it through a study of simplification across different modes of language production and across different language pairs. We rely on EPTIC, a corpus featuring plenary speeches at the European Parliament in their interpreted and translated versions, aligned to each other and to their source texts in English<=>Italian and English<=>French. Aiming to shed light on lexical simplification in different mediation modes, we compare interpretations and translations to each other and to comparable original speeches and their edited written versions. Specifically, we compare lexical features (lexical density, type-token ratio, core vocabulary and list head coverage) in interpreting and translation into English from French and Italian, both in a monolingual comparable perspective and an intermodal perspective. Our results do not unconditionally support the simplification hypothesis: lexical simplification is observed in mediated English, but is found to be greater when the source language is French, and in interpretations rather than translations. We conclude that this feature is contingent on both the mediation mode and the source languages involved, and that the influence of the latter seems to be stronger than that of the former.
Journal Article
Empirical translation studies : new methodological and theoretical traditions
The present volume is devoted to the study of language use in translated texts as a function of various linguistic, contextual and cognitive factors. It contributes to the recent trend in empirical translation studies towards more methodological sophistication, including mixed methodology designs and multivariate statistical analyses, ultimately leading to a more accurate understanding of language use in translations.
eBook
Revisiting simplification in corpus-based translation studies: Insights from readability research
Ever since the publication of Laviosa’s (1998a; 1998b) pioneering work, the study of lexico-syntactic simplification has held centre stage in corpus translation research concerned with the typical features of translated texts. The simplification hypothesis states that translated texts are simpler than non-translated texts. The convergence hypothesis, also discussed by Laviosa (1998a; 1998b), but less so in follow-up studies, is that translated texts are more homogeneous than original texts, that is they display less variance. To date, simplification has mostly been operationalised in CBTS as type-token ratio, lexical density, core vocabulary coverage, list head coverage and average sentence length. Relying on these parameters, previous research has produced mixed results, with simplification varying across translation modalities, language pairs and registers. The present article sets out to revisit the simplification and convergence hypotheses through the lens of NLP-informed readability research. In particular, we rely on a larger set of simplification indicators and make use of multivariate statistical techniques. We present a simplification study of Europarl corpus data in French translated from English and in non-translated French. The results show that translated French is simpler than original French, lexically and syntactically. We also find evidence of convergence that shows that translators smooth out cross-speaker lexical heterogeneity in translated parliamentary proceedings.
Journal Article
Genre- and Register-related Discourse Features in Contrast
This volume contributes to filling a gap in corpus-based research by investigating the ways in which linguistic features vary across genres/registers cross-linguistically. It brings together insightful chapters by leading scholars in the field, fruitfully exploiting genre- or register-controlled multilingual parallel and comparable corpora to: (i) problematize cross-register variation in a multilingual perspective, (ii) address methodological and theoretical issues raised by register-oriented contrastive and translation studies, (iii) investigate the cross-linguistic and cross-genre variation of specific linguistic features, such as lexical bundles, sentence-initial adverbials and tag questions, (iv) identify cross-cultural and cross-linguistic dissimilarities in expressing a functional category, viz. Appraisal, in the field of opinion mining. The book offers new cutting-edge research that should be of interest to specialists in contrastive linguistics, translation studies and cross-cultural studies. Originally published as a special issue of Languages in Contrast 14:1 (2014).
eBook