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ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2025
License: CC BY
Data sources: Datacite
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ParaFarm: English-Ukrainian Multiple-Translation Corpus

Authors: Maslij (Kalashnyk), Viktoriia; Shvedova, Maria;

ParaFarm: English-Ukrainian Multiple-Translation Corpus

Abstract

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

Keywords

English language, computational linguistics, translation studies, parallel corpus, natural language processing, language variation, Ukrainian language

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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).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average