12th Workshop on the Challenges in the Management of Large Corpora

The next meeting of CMLC (see also  http://corpora.ids-mannheim.de/cmlc.html ) will be held as part of the LREC-2026 conference in Palma, Mallorca. 

3rd Call for Papers and deadline extension

Important dates

Paper submission

Workshop description

As in the previous CMLC meetings, we wish to explore common areas of interest across a range of issues in language resource management, corpus linguistics, natural language processing, natural language generation, and data science.
Large textual datasets require careful design, collection, cleaning, encoding, annotation, storage, retrieval, and curation to be of use for a wide range of research questions and to users across a number of disciplines. A growing number of national and other very large corpora are being made available, many historical archives are being digitised, numerous publishing houses are opening their textual assets for text mining, and many billions of words can be quickly sourced from the web and online social media.
A mixed blessing of the times is that much of those texts, in mono- and multi-lingual arrangements can now be created automatically by exploiting Large Language Models at various scales. That, on the one hand, makes it possible to inflate the amounts of data where normally data would be scarce: in under-resourced languages or language varieties, in specific genres or for intricate and rarely attested constructions. On the other hand, such procedures immediately raise concerns regarding the authenticity and quality of such data, casting doubt on the possibility of adequately (truthfully, verifiably, reproducibly) addressing the kind of research questions that provoked the rapid but tainted increase of the available data volumes in the first place. Similar doubts may be directed at mass creation of secondary and tertiary data ordinarily crucial for linguistic research: apart from potential legal constraints on the use of the initial amounts of human-created data, new questions arise as to the legal status of the derived data, the ways to create e.g. provenance metadata of the derived resources, and the level of trust regarding mass-produced grammatical (and other) annotation layers.
These new as well as more traditional questions lie at the base of the list of topics that management of large corpora (for any currently suitable definition of “large”) invokes or at least strongly brushes against.

Topics of interest

This year's event adds new items to the standard range of CMLC themes and addresses some of LREC-2026 focus topics:

National corpus initiatives

In the tradition of CMLC, we invite reports on national corpus initiatives; submitters of these reports should be prepared to present a poster. Given that it's been a while since the last round, we would be happy to have a little "What's the news?" session, and we cordially invite both our veteran presenters as well as colleagues who have not yet introduced their national corpus projects,
Our poster sessions are usually scheduled to overlap with the coffee break, to ensure informal atmosphere and to maximally use the time slot available to us. A flash presentation section is plan for just before the poster session: ca. 3 minutes for the highlights.

LRE 2026 Map and the "Share your LRs!" initiative

When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).

Programme Committee

Organising Committee