Translating into Native Language with Corpora

Abstract

The researchers note that translating technical texts into one’s native language is no easier a task than doing it in the opposite direction, particularly when the translator lacks expertise in the target area. The main difficulties that supposedly arise are translation of terms and clichés, as well as fitting the thought into an appropriate form in the target language. The authors suggest that ad-hoc corpora of texts in the native language be used to address them. The basis for this study became the experience, by all means successful, of utilizing the same type of resources, this time consisting of texts in the foreign language, in translations from the mother tongue. The researchers demonstrate strategies of employing corpora to overcome language difficulties and concurrently address the ever-pressing issue of optimizing the procedures for information retrieving from electronic translating tools. Particularly, they look into the benefits of corpus managers’ advanced search and wild card characters. Among other noteworthy results of this work are several tested and proven approaches to generating corpus queries based on the context analysis. They come in handy when everything else, i.e. dictionaries and other conventional translating tools, failed as sources of preliminary data for corpus searching.

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