Mind the Source Data! Translation Equivalents and Translation Stimuli from Parallel Corpora

Do Self-translating Poets Have Equally Distributed Equivalent Words in the Target and Original Texts? A Corpus Examination of Yu Guangzhong’s Poems

“…As a result, equivalence research has begun to intersect with a new angle, namely corpus research, which has accompanied the rise of computer science. For instance, Mikhailov (2021) demonstrates the distinction between translation equivalence and translation stimulation by providing illustrations from parallel corpora of Russian-Finnish and Finnish-Russian translations and examines the application of translation equivalence and translation stimulation in the field of translation studies and contrastive semantic research. Asscher (2022) integrates artificial intelligence, corpus research, and equivalence and examines the disparities between corpus-based machine translation algorithms and critical paradigms of human translation, such as natural equivalence.…”

Review of Julia Lavid-López, Carmen Maíz-Arévalo and Juan Rafael Zamorano-Mansilla.2021. Corpora in Translation and Contrastive Research in the Digital Era. Amsterdam: John Benjamins. ISBN: 978-9-027-20918-4. DOI: https://doi.org/10.1075/btl.158

“…Finally, a translator may misunderstand the text and use a wrong DM as equivalent. These issues can influence the use of DMs in both languages (see also Mikhailov 2021). However, large, clean and reliable parallel corpora are still to be acquired, and results obtained from noisy data are also valuable.…”