79 citations · 200 across the 11 of their papers we have counts for
3 papers · 1 filter
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
Christoph Wick, Jochen Zöllner, Tobias Grüning
In contrast to Connectionist Temporal Classification (CTC) approaches, Sequence-To-Sequence (S2S) models for Handwritten Text Recognition (HTR) suffer from errors such as skipped o…
Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning
Christian Reul, Christoph Wick, Maximilian Nöth +3
In order to apply Optical Character Recognition (OCR) to historical printings of Latin script fully automatically, we report on our efforts to construct a widely-applicable polyfon…
Optimizing small BERTs trained for German NER
Jochen Zöllner, Konrad Sperfeld, Christoph Wick +1
Currently, the most widespread neural network architecture for training language models is the so called BERT which led to improvements in various Natural Language Processing (NLP)…