Source language difficulties in learner translation
Evidence from an error-annotated corpus
Bibliographic Data
| ID | 21584046 |
|---|---|
| Authors | Maria Kunilovskaya (0000-0002-1473-4684, University of Wolverhampton), Tatyana Ilyushchenya (University of Tyumen), Tatyana A Ilyushchenya (University of Tyumen), Natalia Morgoun (Lomonosov Moscow State University), Ruslan Mitkov (0000-0003-2522-066X, University of Wolverhampton) |
| Year | 2023 |
| Volume | 35 |
| Issue | 1 |
| Pages | 34-62 |
| Publication date | 2023-02-17 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Target International Journal of Translation Studies (JOURNAL) |
| Journal identifiers | ISSN: 0924-1884 • E-ISSN: 1569-9986 |
| Publisher | John Benjamins Publishing Company (PUBLISHER • NL) |
| DOI | 10.1075/target.20189.kun |
| OpenAlex | W4281626239 |
| Language | EN |
| Citations received | 3 |
| References cited | 19 |
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 of the most challenging source sentences, drawn from a large collection of student translations on the basis of error statistics. This sample was subjected to manual contrastive-comparative analysis, which resulted in a list of English items that were difficult for students. The outcome of the analysis was compared to the topics discussed in translation textbooks that are recommended for BA and specialist-degree students in Russia. We discuss items that deserve more prominence in training as well as items that call for improvements to traditional learning activities. This study presents evidence that a more empirically motivated design of the practical translation syllabus as part of translator education is required
Contrastive analysis · Error Analysis · Linguistics · Mathematics education · Natural language processing · Sentence · Source text · Syllabus · Computer Science · Mathematics · Natural Language Processing Techniques · Psychology · Second Language Acquisition and Learning · Translation Studies and Practices · Artificial Intelligence
Descriptive Translation Studies – and beyond
In Other Words
Functional Sentence Perspective in Written and Spoken Communication
Inter-Coder Agreement for Computational Linguistics
Investigating Translation Competence
Towards a Methodology for a Corpus-Based Approach to Translation Evaluation
Translation Methods and Experience
Teaching Specialised Translation Through Corpus Linguistics
| Unique citing works | 3 |
|---|---|
| Citations per year | 1,5 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 3 |