Abstract

The new dataset and web application ‘Coin Production in the Low Countries: fourteenth century to the present’ provides scholars with user-friendly access to mintmasters’ accounts going back to the Middle Ages. They give insight into the production of legal tender (within the Low Countries and occasionally elsewhere as well), and provide access to such variables as regional production figures and coin denominations. This data article provides an introduction to the sources as well as the dataset, and suggests how the latter might contribute to new research into long-run economic and social history.

Highlights

  • Monetization is a key concept in economics and in economic history

  • We have presented an approach and experiments for fine-grained entity typing for Dutch which can be interesting for collecting information about entities in digital humanities sources

  • We aim to test the approach on historical datasets such as the NIOD “Getuigen Verhalen” dataset and Biografisch Portaal

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Summary

Introduction

Monetization is a key concept in economics and in economic history. Throughout history currencies were a crucial element of economic exchange: first in the form of metal coins, which made up the lion’s share of currencies, and were widely used in everyday transactions. The Dutch language in the 17th century was a mixture of fading linguistic properties from the preceding language phase, Middle Dutch, and upcoming new ways to construct words and sentences. Within these language dynamics we observe a type of language variation that has rarely been addressed before: variation within individual language users (intra-author variation). Deviations in early speech/language development have frequently been related to (risk of) dyslexia (van der Leij et al, 2013), none of these markers have been successfully used to predict later language/literacy performance at the individual level. The aim of this study was to investigate if early vocabulary development can be used to predict whether or not an infant is at risk of dyslexia

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