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A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

CLEX: a cross-linguistic lexical norms database*.

Rune Nørgaard Jørgensen¹, Philip S Dale, Dorthe Bleses

¹University of Southern Denmark, DK-5230 Odense M, Denmark. rune@sdu.dk

Journal of Child Language

|July 3, 2009

Summary

Parent reports offer a valid method for assessing early child language development. A new database, CLEX, facilitates cross-linguistic lexical comparisons using standardized data from parent-report instruments.

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Last Updated: Jun 22, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English

Published on: April 3, 2026

Area of Science:

Developmental Psychology
Linguistics
Computational Linguistics

Background:

Parent reports are a valid and cost-effective method for evaluating early child language acquisition.
Norming datasets from parent-report instruments enable the derivation of lexical norms for word production, comprehension, gestures, and symbolic actions.
Lexical norms are crucial for basic research, assessment, and intervention in child language development.

Purpose of the Study:

To describe the development of CLEX, a novel web-based cross-linguistic database for lexical data.
To provide tools for analyzing lexical data within and across languages.
To facilitate cross-linguistic comparisons of child language development.

Main Methods:

Development of CLEX, a web-based database.
Inclusion of lexical data from adaptations of the MacArthur-Bates Communicative Development Inventories.
Implementation of tools for within- and cross-linguistic analysis and user-defined lexical mappings.

Main Results:

CLEX provides a centralized repository for cross-linguistic lexical data.
The database supports diverse analytical approaches for child language research.
CLEX is designed for easy expansion with additional language datasets.

Conclusions:

CLEX enhances the ability to conduct cross-linguistic comparisons of early lexical development.
The database serves as a valuable resource for researchers, clinicians, and educators.
Standardized lexical norms derived from parent reports are essential for advancing our understanding of child language acquisition globally.