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Found 7 papers, 2 papers with code
Detecting Non-literal Translations by Fine-tuning Cross-lingual Pre-trained Language Models
Human-generated non-literal translations reflect the richness of human languages and are sometimes indispensable to ensure adequacy and fluency.
La r\'e\'ecriture monolingue ou bilingue facilite-t-elle la compr\'ehension ? (Does monolingual or bilingual rewriting facilitate comprehension ?)
La capacit{\'e} en compr{\'e}hension {\'e}crite est importante {\`a} d{\'e}velopper pour les apprenants de langues {\'e}trang{\`e}res.
Building an English-Chinese Parallel Corpus Annotated with Sub-sentential Translation Techniques
For this original task, since there is no dedicated data set for English-Chinese, we manually annotated a parallel corpus of eleven genres.
Classification automatique des proc\'ed\'es de traduction (Automatic Classification of Translation Processes)
En vue de distinguer la traduction litt{\'e}rale des autres proc{\'e}d{\'e}s de traduction, des traducteurs et linguistes ont propos{\'e} plusieurs typologies pour caract{\'e}riser les diff{\'e}rents proc{\'e}d{\'e}s de traduction, tels que l{'}{\'e}quivalence idiomatique, la g{\'e}n{\'e}ralisation, la particularisation, la modulation s{\'e}mantique, etc.
Towards Recognizing Phrase Translation Processes: Experiments on English-French
This work demonstrates that it is possible to automatically classify translation processes.
Construction of a Multilingual Corpus Annotated with Translation Relations
Translation relations, which distinguish literal translation from other translation techniques, constitute an important subject of study for human translators (Chuquet and Paillard, 1989).
Construction d'un corpus multilingue annot\'e en relations de traduction (Construction of a multilingual corpus annotated with translation relations )
Les relations de traduction, qui distinguent la traduction litt{\'e}rale d{'}autres proc{\'e}d{\'e}s, constituent un sujet d{'}{\'e}tude important pour les traducteurs humains (Chuquet {\&} Paillard, 1989).
