Multilingual Named Entity Recognition for Historical Texts: Difference between revisions

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                         "Multilingual Named Entity Recognition for Historical Texts"
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                     "value": 2023
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Latest revision as of 22:05, 27 July 2026

"Multilingual Named Entity Recognition for Historical Texts" proposes a training and evaluation methodology for NER models that must cope with the spelling variation, code-switching, and non-standard orthography typical of pre-modern European sources. The paper benchmarks several transformer-based architectures against a curated set of historical corpora.

The work underpins the Multilingual NER Toolkit project, which packages the methodology as reusable models and evaluation harnesses for downstream digital humanities use.