Source language difficulties in learner translation

Abstract This study uses an error-annotated, mass-media subset of a sentence-aligned, multi-parallel learner translator corpus to reveal source-language items that are challenging in English–Russian translation. Our data includes multiple translations the most source sentences, drawn from large collection student on basis error statistics. sample was subjected manual contrastive-comparative analysis, which resulted list English were difficult for students. The outcome analysis compared topics discussed translation textbooks recommended BA and specialist-degree students Russia. We discuss deserve more prominence training as well call improvements traditional learning activities. presents evidence empirically motivated design practical syllabus part education is required.