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Mission statement

The Journal for Language Technology and Computational Linguistics (JLCL) is an open access journal ("gold" OA) supported by the German Society for Computational Linguistics and Language Technology (GSCL). As such it requires no article processings charges (APC). All articles are published under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0).

Scope

The journal publishes articles on computational linguistics and natural language processing, primarily original research papers and reports. If they are properly motivated surveys, position papers and book reviews may also be accepted. The following list of topics gives an overview of typical research fields relevant to the JLCL community:

  • Core technologies
    • Computational morphology, parsing and tagging (theory and technology)
    • Machine translation and machine aided translation
    • Speech based systems and their applications
  • Quantitative and data-oriented approaches
    • Corpus linguistics
    • Quantitative linguistics
  • Application fields
    • Information retrieval, knowledge management and related areas
    • Text technology (markup languages, text mining)
    • Computational lexicography
  • Inter-/Transdisciplinary work
    • CL/NLP for Digital Humanities
    • Linguistic approaches to the semantic Web and ontology engineering
    • Information Science and digital libraries
    • Diachronic and comparative linguistics
  • Curriculum development and teaching

We invite submissions related to any language while particularly encouraging submissions about German and its geographical and historical varieties.

Publication

Mostly two issues per annum: one general and open-ended call, the other in response to a specific call with a thematic focus.

JLCL is currently indexed in publons, dblp, and Google Scholar. The journal is also listed on the ACL Wiki. Further indexing efforts are under way.

Most cited articles as of January 2022:

  • Biemann, C. et al. (2013). Scalable Construction of High-Quality Web Corpora. JLCL, 28(2), 23-59. (71 times)
  • Riedl, M., & Biemann, C. (2012). Text segmentation with topic models. JLCL, 27(1), 47-69. (71 times)
  • Chanier, T. et al. (2014). The CoMeRe corpus for French: structuring and annotating heterogeneous CMC genres. JLCL, 29(2), 1-30. (66 times)

Editorial Board

The editorial board primarily consists of members of the executive and advisory boards of the GSCL, that is researchers from academia and the language technology industry as well as the chairpersons of the GSCL's special interest groups.

Prof. Dr. Michael Beisswenger, Universität Duisburg Essen
Dr. Nicolai Erbs, DB Fernverkehr, Berlin
Gertrud Faaß, PhD, Universität Hildesheim
Dr. Bernhard Fisseni, Universität Duisburg Essen
Dr. Annemarie Friedrich, Bosch Center for Artificial Intelligence, Stuttgart
Prof. Dr. Goran Glavaš, Universität Mannheim
Dr. Armin Hoenen, Universität Frankfurt
Dr. Gabriella Lapesa, Universität Stuttgart
Prof. Dr. Cerstin Mahlow, Zürcher Hochschule für Angewandte Wissenschaften
Prof. Dr. Alexander Mehler, Universität Frankfurt
Prof. Dr. Simone Ponzetto, Universität Mannheim
Ines Rehbein, PhD, Universität Mannheim
Dr. Josef Ruppenhofer, Leibniz Institut für Deutsche Sprache (IDS) Mannheim
PD Dr. habil. Roman Schneider, Leibniz Institut für Deutsche Sprache (IDS) Mannheim
Prof. Dr. Bernhard Schröder, Universität Duisburg Essen
Prof. Dr. Melanie Siegel, Hochschule Darmstadt
Prof. Dr. Angelika Storrer, Universität Mannheim
Prof. Dr. Christian Wartena, Hochschule Hannover
Prof. Dr. Michael Wiegand, Alpen-Adria-Universität Klagenfurt
Prof. Ing. Torsten Zesch, Universität Duisburg Essen
Prof. Dr. Heike Zinsmeister, Universität Hamburg