Using Attention-based Sequence-to-Sequence Neural Networks for Transcription of Historical Cipher Documents
Encrypted historical manuscripts (also called ciphers), containing encoded information, provides a useful resource for giving new insight into our history. Transcribing these manuscripts from image format to computer readable format is a necessary step for decrypting them. In this thesis project, we...
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Format: | Others |
Language: | English |
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Uppsala universitet, Institutionen för lingvistik och filologi
2020
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Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-420322 |