Papers by Sophie Robert-Hayek
A Classifier of Word-Level Variants in Witnesses of Biblical Hebrew Manuscripts (2025.findings-acl)
Copied to clipboard
| Challenge: | a strong classifier (F1 value of 0.80) is trained to predict the category of difference between word pairs as present in collated (aligned) pairs of witnesses. |
| Approach: | The project is based on the relationship between available witnesses of biblical Hebrew and a strong classifier (F1 value of 0.80) is trained to predict the category of difference between word pairs as present in collated pairs of witnesses. |
| Outcome: | The proposed model is non-neural and uses part-of-speech tags, hand-crafted rules per category and synthetically derived data. |