EDBT 2026 Demo / reviewers in the wild / expert
Marielle Lange
dblp:99/2374
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1999
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Computational social science and digital humanities · 100% | |
| Artificial intelligence
1 paper |
Speech recognition and synthesis · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational social science and digital humanities
psycholinguistics |
0.0 | 1 | 1999 | The grapho-phonological system of written French: Statistical analysis and empirical validation · ACL 1999 |
Natural language and speech › Speech recognition and synthesis › phonology
phonological processing |
0.0 | 1 | 1999 | The grapho-phonological system of written French: Statistical analysis and empirical validation · ACL 1999 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | The grapho-phonological system of written French: Statistical analysis and empirical validationabstractThe processes through which readers evoke mental representations of phonological forms from print constitute a hotly debated and controversial issue in current psycholinguistics. In this paper we present a computational analysis of the grapho-phonological system of written French, and an empirical validation of some of the obtained descriptive statistics. The results provide direct evidence demonstrating that both grapheme frequency and grapheme entropy influence performance on pseudoword naming. We discuss the implications of those findings for current models of phonological coding in visual word recognition. Marielle Lange, Alain Content |
ACL | 1 |