# Historical Document Processing

This model is designed to recognize handwritten text from text line images in table cells, particularly suitable for handwritten text recognition in Finnish death records and census records from the 1930s.

This model is an experimental sequence-to-sequence architecture specifically designed for Italian, aiming to correct approximately 93% of errors produced by low-quality Optical Character Recognition (OCR) systems on Italian texts.

This is a translation model capable of understanding Sumerian and Akkadian languages written in cuneiform, trained on cuneiform transcriptions in CDLI ATF format.