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last updated: 2020-07-24 11:37 CEST

8th Workshop on the Challenges in the Management of Large Corpora


The proceedings volume is available at https://lrec2020.lrec-conf.org/media/proceedings/Workshops/Books/CMLC-8book.pdf.

When and where

Time: Saturday, 16th of May, 2020, in the morning session. Place: Marseille, as part of LREC-2020. (Room number t.b.a)

Due to COVID19 pandemic, the 12th edition of the LREC conference, and consequently the 8th edition of he workshop, have been cancelled. We would like to thank the Authors and the Programme Committee for the work they have put into the papers and the selection process. That work is not lost: a peer-reviewed volume of proceedings is available from LREC-2020 pages.

Accepted papers

Workshop description

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 number of key themes and questions emerge of interest to the contributing research communities: (a) what can be done to deal with IPR and data protection issues? (b) what sampling techniques can we apply? (c) what quality issues should we be aware of? (d) what infrastructures and frameworks are being developed for the efficient storage, annotation, analysis and retrieval of large datasets? (e) what affordances do visualisation techniques offer for the exploratory analysis approaches of corpora? (f) what kinds of APIs or other means of access would make the corpus data as widely usable as possible without interfering with legal restrictions? (g) how to guarantee that corpus data remain available and usable in a sustainable way?

The CMLC workshop series invites papers dealing with challenges that arise in particular in connection with very large corpora, on topics such as: sampling approaches; web harvesting approaches; quality assessment; efficient solutions for storage, processing, querying and analysis; dimension reduction and exploratory data visualization; interfaces/APIs and other approaches to make the corpus data as widely usable as possible; sustainability and interoperability in general; intellectual property rights and licensing. This year’s event will cover the whole range of the standard CMLC themes, with some new additions and adopting some of LREC 2020’s focus topics.


This year’s event will cover the whole range of the standard CMLC themes, with some new additions and adopting some of LREC 2020’s focus topics:

In the tradition of CMLC, we invite reports on national corpus initiatives; submitters of these reports should be prepared to present a poster.

Final submissions

Final submissions MUST conform to the LREC template. Size: 4-8 pages, with a possible extra page for references.

Submission URL: https://www.softconf.com/lrec2020/CMLC-8/

Important dates

Identify, Describe and Share your LRs!

Describing your LRs in the LRE Map is now a normal practice in the submission procedure of LREC (introduced in 2010 and adopted by other conferences). To continue the efforts initiated at LREC 2014 about “Sharing LRs” (data, tools, web-services, etc.), authors will have the possibility, when submitting a paper, to upload LRs in a special LREC repository. This effort of sharing LRs, linked to the LRE Map for their description, may become a new “regular” feature for conferences in our field, thus contributing to creating a common repository where everyone can deposit and share data.

As scientific work requires accurate citations of referenced work so as to allow the community to understand the whole context and also replicate the experiments conducted by other researchers, LREC 2020 endorses the need to uniquely Identify LRs through the use of the International Standard Language Resource Number (ISLRN, www.islrn.org), a Persistent Unique Identifier to be assigned to each Language Resource. The assignment of ISLRNs to LRs cited in LREC papers will be offered at submission time.

Programme Committee

Names will be added as Programme Committee members confirm their participation.

Organising Committee

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Institut für Deutsche Sprache, Mannheim

Piotr Bański, Marc Kupietz, Harald Lüngen

Berlin-Brandenburg Academy of Sciences

Adrien Barbaresi

Institute of Computational Linguistics, University of Zurich

Simon Clematide


CMLC series homepage is located at http://corpora.ids-mannheim.de/cmlc.html