Papers by Raphael Schwitter

2 papers
Evaluation of HTR models without Ground Truth Material (2022.lrec-1)

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Challenge: Optical Character Recognition (OCR) is a well-established technique for digitising historical printed collections in libraries and archives.
Approach: They propose to use masked language models to evaluate handwritten text recognition models . they propose to introduce GT-free metrics to evaluate models to ensure best results .
Outcome: The proposed model evaluations are based on lexicon-based and masked language models.
Nunc profana tractemus. Detecting Code-Switching in a Large Corpus of 16th Century Letters (2022.lrec-1)

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Challenge: a corpus of 16th century letters from and to the Zurich reformer Heinrich Bullinger has been preserved . a recent study investigated code-switching in these 8600 letters .
Approach: They investigate the automatic detection of code-switching in a 16th century letter exchange . they use a popular language identifier to bootstrap a word-based language classifier .
Outcome: The proposed language classifier bootstraps with a popular identifier on a small training corpus of 150 sentences per language.

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