Edited By Maurizio Gotti and Susan Sarcevic
Quality and Cultural Issues
FEDERICA SCARPA Corpus-based Quality-Assessment of Specialist Translation: A Study Using Parallel and Comparable Corpora in English and Italian 1. Introduction The main goal of this study is to investigate the extent to which data resulting from basic corpus-processing tools such as word-frequency lists, text statistics and concordances can be related to the assessment of specialist-translation quality. Within the broader framework of the research models of translation presented by Chesterman (2000), the study aims at providing a bridge between a comparative model of translation based on description and a causal model of translation based on explanation, the latter allowing explanatory hypotheses about specific translation choices giving rise to (less) good translations. Whilst the main hypothesis underlying this chapter is that the use of corpora in studies on translation allows us to analyze features of translation products which can illuminate the nature of the translation process (cf. Stubbs 2001; Olohan 2002), four specific hypotheses will be tested as to their validity for specialist English-to- Italian translation. All of the following hypotheses are based on the idea that certain translation techniques may be inherent in the process of translation per se rather than due to structural differences between the languages in contact (Baker 1996; Laviosa 1998a, 2002; Olohan / Baker 2000; Olohan 2004): 1. Explicitation, i.e. translations may render lexicogrammatical relations more explicit than in the source text (ST), thus increasing the number of such devices (stylistic explicitation) and resulting in a higher level of repetition (lexical explicitation). Federica Scarpa 156 2. Simplification,...
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