This repo hosts the codebase for reproduce the results for the ACL paper Neural Decipherment via Minimum-Cost Flow: from Ugaritic to Linear B. Still cleaning up some part of the code. Stay tuned for updates.
Data for linear B and Ugaritic are included in the data
folder:
uga-heb.no_spe.cog
is the entire Ugaritic-Hebrew data obtained from Ben Snyder.no_spe
stands for no special symbols since the original file contains special symbols that mark the morphological segmentations and affixes.uga-heb.small.no_spe.cog
is the exact random subset of Ugaritic data I used in the paper for training the model. Around one tenth of the original file.linear_b-greek.cog
is the linear B data used in the paper.notebooks/Linear_b_simplified.ipynb
is the same notebook I used for preparing the linear B data.linear_b-greek.names.cog
is the linear B data that only included names on the Greek side.
Note that you might need to install fonts in order to render Linear B scripts properly in your computer.