Documents found
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581.More information
This paper focuses on translational shifts with respect to the demonstrative determiner in French and Dutch in parallel corpora. The paper aims to identify the types of translation shifts that occur systematically, and to explore the underlying mechanisms and semantic effects of this process. For this purpose, a well-balanced sub-corpus of the Dutch Parallel Corpus is used, making it possible to analyze both directions (French – Dutch and Dutch – French). In this corpus, 50% of the demonstrative determiners are translated by a demonstrative in the target text (in both directions). In 20% of the cases, the demonstrative is translated by a definite article, or vice versa, while 30% are translated by another grammatical element (e.g., indefinite determiner, adverb, personal pronoun) or vice versa. The parallel corpus study reveals that translational shifts with respect to French and Dutch demonstratives can be attributed to three different mechanisms: (1) translator preference related to translation universals at the level of the noun phrase (omissions, additions and reformulations of the noun phrase), (2) specific manifestations of translation universals within the noun phrase (syntagmatic and paradigmatic explicitation and implicitation involving demonstrative shifting) and (3) structural divergences between the French and Dutch demonstrative determiner systems (fixed expressions and semantic differences). This analysis demonstrates the usefulness of a detailed parallel corpus study, which clearly distinguishes between changes occurring at different levels, in accounting for divergent translations of the demonstrative determiner in different languages. To this end, several types of explanation drawn from various fields (such as translation studies and contrastive linguistics), must be considered.
Keywords: demonstrative determiners, French/Dutch, parallel corpora, demonstrative shifting, translation mechanisms, déterminants démonstratifs, français/néerlandais, corpus parallèles, changements au niveau du démonstratif, mécanismes de traduction
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582.More information
The integration of data from statistical machine translation into translation memory suites (giving a range of TM/MT technologies) can be expected to replace fully human translation in many spheres of activity. This should bring about changes in the skill sets required of translators. With increased processing done by area experts who are not trained translators, the translator's function can be expected to shift to linguistic postediting, without requirements for extensive area knowledge and possibly with a reduced emphasis on foreign-language expertise. This reconfiguration of the translation space must also recognize the active input roles of TM/MT databases, such that there is no longer a binary organization around a “source” and a “target”: we now have a “start text” (ST) complemented by source materials that take the shape of authorized translation memories, glossaries, terminology bases, and machine-translation feeds. In order to identify the skills required for translation work in such a space, a minimalist and “negative” approach may be adopted: first locate the most important decision-making problems resulting from the use of TM/MT, and then identify the corresponding skills to be learned. A total of ten such skills can be identified, arranged under three heads: learning to learn, learning to trust and mistrust data, and learning to revise with enhanced attention to detail. The acquisition of these skills can be favored by a pedagogy with specific desiderata for the design of suitable classroom spaces, the transversal use of TM/MT, students' self-analyses of translation processes, and collaborative projects with area experts.
Keywords: savoir-faire du traducteur, compétence traductive, formation des traducteurs, technologies de la traduction, post-édition, translation skills, translation competence, translator education, translation technology, postediting
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