QQ: A Language Metadata Toolkit for Multilingual NLP

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Authors: Wessel Poelman, Yiyi Chen, Miryam de Lhoneux
Cited by: 0
References: 3

Abstract

Multilingual NLP research increasingly involves hundreds or thousands of languages across different datasets.Managing, discovering, and reporting language metadata becomes a common hurdle at these scales.We present QQ, a metadata toolkit and browser explorer.QQ compiles language metadata sources into a graph of language varieties, scripts, regions, identifiers, names, and relations, and exposes it through a Python API, a command-line interface, and a browser-based explorer.Users can normalize identifiers, retrieve metadata, traverse relations, and discover which external resources contain which languages.We demonstrate QQ on three workflows: an audit of the HuggingFace Hub, linking resources that use different identifier systems, and generating language-reporting tables.QQ supports FAIRoriented metadata practices through versioning, open formats, and reusable interfaces.Explorer

Fields of Study & Subjects

Natural Language Processing Techniques Research Data Management Practices Topic Modeling

Publication details

Journal / source
Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
Pages
275–285
Publication date
1 January 2026
Language
EN