Data Mining Medieval Documents by Word Spotting
2011 (English)In: Proceedings of the 2011 Workshop on Historical Document Imaging and Processing, New York: ACM , 2011, 75-82 p.Conference paper (Refereed)
This paper presents novel results for word spotting based on dynamic time warping applied to medieval manuscripts in Latin and Old Swedish. A target word is marked by a user, and the method automatically finds similar word forms in the document by matching them against the target. The method automatically identifies pages and lines. We show that our method improves accuracy compared to earlier proposals for this kind of handwriting. An advantage of the new method is that it performs matching within a text line without presupposing that the difficult problem of segmenting the text line into individual words has been solved. We evaluate our word spotting implementation on two medieval manuscripts representing two script types. We also show that it can be useful by helping a user find words in a manuscript and present graphs of word statistics as a function of page number.
Place, publisher, year, edition, pages
New York: ACM , 2011. 75-82 p.
Humanities Natural Sciences Language Technology (Computational Linguistics)
Research subject Computational Linguistics; Computerized Image Processing
IdentifiersURN: urn:nbn:se:uu:diva-162428DOI: 10.1145/2037342.2037355ISBN: 978-1-4503-0916-5OAI: oai:DiVA.org:uu-162428DiVA: diva2:460479
Workshop on Historical Document Imaging and Processing, 16-17 Sep 2011, Beijing, China