SLSP is a yearly conference series aimed at promoting and displaying excellent research on the wide spectrum of statistical methods that are currently in use in computational language or speech processing. It aims at attracting contributions from both fields. Though there exist large conferences and workshops hosting contributions to any of these areas, SLSP is a more focused meeting where synergies between the two domains will hopefully happen. In SLSP 2020 & 2021, significant room will be reserved to young scholars at the beginning of their career and particular focus will be put on methodology.
Previous events took place in Tarragona, Grenoble, Budapest, Pilsen, Le Mans, Mons, and Ljubljana.
SLSP 2020 & 2021 will take place in Cardiff, the capital of Wales and its political, commercial and cultural centre. The venue will be:
SLSP 2020 & 2021 will consist of:
david (at) irdta.eu
▸ Data Innovation Research Institute, Cardiff University / Prifysgol Caerdydd
▸ Institute for Research Development, Training and Advice – IRDTA, Brussels/London
The conference invites submission discussing the employment of statistical models (including machine learning) within language and speech processing. Topics of either theoretical or applied interest include, but are not limited to:
Authors are invited to submit non-anonymized papers in English presenting original and unpublished research. Papers should not exceed 12 single-spaced pages (all included) and should be prepared according to the standard format for Springer Verlag's LNCS series (see http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0).
Upload submission to: https://easychair.org/conferences/?conf=slsp20202021
A volume of proceedings published by Springer in the LNCS/LNAI series will be available by the time of the conference.
A special issue of a major journal will be later published containing peer-reviewed substantially extended versions of some of the papers contributed to the conference. Submissions to it will be by invitation.
The registration form can be found at: