DuoSearch: A Novel Search Engine for Bulgarian Historical Documents
May 30, 2023 Β· Declared Dead Β· π European Conference on Information Retrieval
"No code URL or promise found in abstract"
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Authors
Angel Beshirov, Suzan Hadzhieva, Ivan Koychev, Milena Dobreva
arXiv ID
2305.19392
Category
cs.IR: Information Retrieval
Citations
0
Venue
European Conference on Information Retrieval
Last Checked
4 months ago
Abstract
Search in collections of digitised historical documents is hindered by a two-prong problem, orthographic variety and optical character recognition (OCR) mistakes. We present a new search engine for historical documents, DuoSearch, which uses ElasticSearch and machine learning methods based on deep neural networks to offer a solution to this problem. It was tested on a collection of historical newspapers in Bulgarian from the mid-19th to the mid-20th century. The system provides an interactive and intuitive interface for the end-users allowing them to enter search terms in modern Bulgarian and search across historical spellings. This is the first solution facilitating the use of digitised historical documents in Bulgarian.
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