Lost in Transcription : Evaluating Clustering and Few-Shot learningfor transcription of historical ciphers

Lost in Transcription : Evaluating Clustering and Few-Shot learningfor transcription of historical ciphers

Where there has been a steady development of Optical Character Recognition (OCR) techniques for printed documents, the instruments that provide good quality for hand-written manuscripts by Hand-written Text Recognition  methods (HTR) and transcriptions are still some steps behind. With the main focu...

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Bibliographic Details
Main Author: Magnifico, Giacomo
Format: Others
Language:English
Published: Uppsala universitet, Institutionen för lingvistik och filologi 2021
Subjects:
Image Recognition
Handwritten Text Recognition
HTR
Deep-learning
K-mean clustering
NN
Neural Network
Few-Shot
Language Technology (Computational Linguistics)
Språkteknologi (språkvetenskaplig databehandling)
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-460248

Internet

http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-460248

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