Curating and extending data for language comparison in Concepticon and NoRaRe

Area of Science:

• Computational linguistics
• Lexicography
• Cross-linguistic research

Background:

• Standardizing linguistic data is crucial for comparative studies.
• Existing resources lacked comprehensive word property data across languages.
• Distinct research fields collected similar word property information independently.

Purpose of the Study:

• To present major releases of Concepticon (Version 3.0) and NoRaRe (Version 1.0).
• To demonstrate the utility of standardized data curation for cross-linguistic datasets.
• To enable comparative linguistic studies by integrating diverse lexical data.

Main Methods:

• Developing Concepticon as a reference catalog for standardized concepts.
• Extending Concepticon with the Database of Norms, Ratings, and Relations (NoRaRe) for word properties.
• Implementing a shared data curation workflow for both resources.
• Creating a new web application for accessible data retrieval.

Main Results:

• Concepticon Version 3.0 and NoRaRe Version 1.0 are now available.
• The adapted data curation workflow proved effective for standardizing cross-linguistic datasets.
• Combining datasets from different fields enhances language comparison studies.
• NoRaRe offers lexical data for multiple languages with tools for curation and reuse.

Conclusions:

• Concepticon and NoRaRe significantly advance the standardization of linguistic data.
• Integrated lexical datasets foster novel cross-linguistic research.
• The new web application improves accessibility and usability of linguistic data resources.