Papers by Anna Serbina
Lost in Translation, and Found: Detecting and Interpreting Translation Effects (2026.acl-long)
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Shira Wein, Anna Serbina, Jiyuan Ji, Nathan Wolf, Jason DeGraaff, Prajakta Kini, Maria Leonor Pacheco
| Challenge: | Translationese refers to the statistical patterns that distinguish translated texts from original texts. |
| Approach: | They analyze linguistic features which enable our model to achieve high accuracy by a collection of linguistic characteristics and pretrained neural models pick up these features without any fine-tuning. |
| Outcome: | The proposed model achieves high accuracy with a set of linguistic features that correspond to translationese theories and pretrained neural models pick up these features without any fine-tuning. |