This paper describes work in progress on devising automatic and parallel methods for geoparsing large digital historical textual data by combining the strengths of three natural language processing (NLP) tools, the Edinburgh Geoparser, spaCy and defoe, and employing different tokenisation and named entity recognition (NER) techniques. We apply these tools to a large collection of nineteenth century Scottish geographical dictionaries, and describe preliminary results obtained when processing this data.
|Title of host publication||Proceedings of the 8th Workshop on Challenges in the Management of Large Corpora|
|Publisher||European Language Ressources Association|
|Number of pages||7|
|Publication status||Published - May 2020|