
Annotation ParaFarm: English-Ukrainian Multiple-Translation Corpus is a parallel corpus designed to facilitate the study of translation variation and linguistic diversity in Ukrainian. The corpus comprises 1,390 English segments extracted from George Orwell’s Animal Farm, aligned with their corresponding translations from seven published Ukrainian editions of the novel. This resource enables researchers to explore multiple translation choices for identical source material, offering valuable insights into Ukrainian language variability and translator decision-making. The corpus is distributed in TMX format. Applications Translation Studies: comparative analysis of translation strategies and decision-making processesUkrainian Language Variation: investigation of lexical and grammatical diversity in UkrainianCorpus Linguistics: quantitative analysis of translation patterns and linguistic phenomenaMachine Translation Evaluation: reference corpus for assessing MT system output qualityParaphrase Generation: training data for neural paraphrase generation models Ethical Considerations This corpus was created exclusively for academic research purposes under the principles of fair use in scholarly analysis. The source material and translations are used in a transformative manner for linguistic research, with proper attribution to the original translators. Citation When using this corpus in research, please cite as: Viktoriia Kalashnyk, Maria Shvedova. (2025). ParaFarm: English-Ukrainian Multiple-Translation Corpus. Zenodo. https://doi.org/10.5281/zenodo.17093177
English language, computational linguistics, translation studies, parallel corpus, natural language processing, language variation, Ukrainian language
English language, computational linguistics, translation studies, parallel corpus, natural language processing, language variation, Ukrainian language
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
