METHODS OF COMPUTATIONAL LINGUISTICS FOR LITERARY TRANSLATION
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Abstract
Computational linguistics methods offer powerful tools for enhancing the
efficiency, accuracy, and consistency of literary translation. This paper explores the
various methods available, including machine translation, translation memories,
corpus-based translation, rule-based translation, and hybrid approaches. The
applications of these methods in literary translation are discussed, along with their
benefits and limitations