Book contents
- Frontmatter
- Contents
- List of Figures
- List of Tables
- List of Background Boxes
- Preface
- List of Abbreviations
- 1 Introduction
- 2 Julia Fundamentals
- 3 The Dataset
- 4 Representing Words’ Forms
- 5 Representing Words’ Meanings
- 6 Computing Comprehension and Production Mappings
- 7 Evaluating Mapping Accuracy
- 8 Producing Forms
- 9 Outputting Modelling Results
- 10 Cross-Validation
- 11 Deep Discriminative Learning in JudiLing
- 12 Worked Examples – Internal Validation
- 13 Predicting Behavioural Data with the DLM
- 14 Worked Examples: External Validation
- 15 No Escape from Morphemes?
- 16 Further Topics
- 17 Concluding Remarks
- References
- Index
14 - Worked Examples: External Validation
Published online by Cambridge University Press: 15 May 2026
Book contents
- Frontmatter
- Contents
- List of Figures
- List of Tables
- List of Background Boxes
- Preface
- List of Abbreviations
- 1 Introduction
- 2 Julia Fundamentals
- 3 The Dataset
- 4 Representing Words’ Forms
- 5 Representing Words’ Meanings
- 6 Computing Comprehension and Production Mappings
- 7 Evaluating Mapping Accuracy
- 8 Producing Forms
- 9 Outputting Modelling Results
- 10 Cross-Validation
- 11 Deep Discriminative Learning in JudiLing
- 12 Worked Examples – Internal Validation
- 13 Predicting Behavioural Data with the DLM
- 14 Worked Examples: External Validation
- 15 No Escape from Morphemes?
- 16 Further Topics
- 17 Concluding Remarks
- References
- Index
Summary
In this chapter, we provide examples of how a DLM model can be pitted against human processing data, illustrating external validation (Chuang and Baayen, 2021). The first three examples address phenomena from phonetic realization: the acoustic duration of English s in pseudo-words, the spoken word duration of English homophones, and the vertical position of the tongue tip during the articulation of the [a] vowel in German. The second set of three examples takes a closer look at lexical decision latencies. One study looks deeper into the modelling of orthographic-semantic consistency (for English), a second study addresses trial-to-trial lexical learning in the course of a lexical decision megastudy (for Dutch), and the final study compares linear and deep learning (also for Dutch).
Information
- Type
- Chapter
- Information
- The Discriminative LexiconTheory, Implementation in the Julia Package JudiLing, and Applications, pp. 203 - 239Publisher: Cambridge University PressPrint publication year: 2026
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