firmmatchr - Robust Probabilistic Matching of Company Names
A pipeline for matching messy company name strings against
a clean dictionary (e.g., 'Orbis'). Implements a cascading
strategy: Exact -> Fuzzy ('zoomerjoin') -> 'FTS5' ('SQLite') ->
Rarity Weighted. Name normalization covers German, French,
Italian and English legal forms and conventions, which suits
multilingual registers such as the Swiss one. Normalization
discards detail, so several dictionary entries can collapse
onto one string; these groups are matched once and a crosswalk
back to every original entry is retained. References: Beniamino
Green (2025) <https://github.com/beniaminogreen/zoomerjoin>;
<https://www.sqlite.org/fts5.html>.
