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Translation Universals.pdf - ymerleksi - home

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26 Gideon Toury<br />

The most basic format seems to be as follows:<br />

If1and2,and3,and...∞, then there is great likelihood that X (or else:<br />

small likelihood that no-X)<br />

where the numbers (1, 2, 3, . . . ∞) stand for the different variables which may<br />

have an effect on the selection of a translational behavior and X – for the<br />

kind of behavior actually opted for, or, more appropriately (from the point<br />

of view of most research paradigms, which are retrospective in nature), the<br />

external manifestations of its execution, as behavior is not really observable in<br />

any direct way.<br />

Another variant, which might be easier to use, would be:<br />

For example,<br />

Thepresenceof1,2,3,...∞ enhances the likelihood that X (or: reduces<br />

the likelihood that no-X)<br />

The coincidence of lack of experience (variable 1) and fatigue (variable<br />

2) increases the likelihood that translational procedures will be applied<br />

to small and/or low-level textual-linguistic entities (or: reduces the likelihood<br />

that they will be applied to long and/or high-level ones, not to<br />

mention the text ‘as a whole’, which is a misleading concept anyway.)<br />

(Note that no claim to validity was made. This example was intended as<br />

an illustration of the format only, and questions of validity seem premature<br />

anyway. The same holds for the magnitude of the said increase (that is, the<br />

probability of the occurrence of each kind of behavior under each condition),<br />

and hence its statistical significance. All these, and much more, still await<br />

targeted research.)<br />

To be sure, even the second formulation is not really appropriate, if only<br />

because it reflects linear reasoning: the variables are taken up one by one and<br />

ordered consecutively, as if each one of them were operating with complete<br />

independence from all other variables. To be more acceptable, the formulation<br />

would have to take into account the above-mentioned possibility, if not<br />

likelihood, that the different variables may also affect each other. For instance:<br />

If 1 and 2, then the likelihood that X is greater than if only 1, and it is<br />

even greater when 3 is present too. The effect of 3 may be so strong that it<br />

completely overrides 1.<br />

The beginning of a more elaborate version of the previous example may look<br />

like this:

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