4th Workshop on Statistical Parsing of Morphologically Rich Languages (SPMRL'2013)


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Co-located with EMNLP 2013, October 18 - 21 in Seattle, Washington

SPMRL 2013 will feature a shared task on parsing morphologically rich languages.

Join the Shared Task mailing list : https://sympa.inria.fr/sympa/info/mrlp-sharedtask


The aim of this workshop is to provide a forum for research in parsing languages with a richer morphological structure than English, in particular the challenges in parsing such languages and strategies towards their solution. Besides the adaptation of existing parsing techniques to new languages, we are interested in presentations relating to specific challenges such as coping with high word-form variation, or the necessity to take into account morphological information in the parsing model. Lexical sparseness and morphological sensitivity is compounded with the problems encountered in the parsing of non-canonical text from morphologically rich languages, such as user-generated content, learner data, or spoken data. Work addressing this problem, or applying approaches for parsing non-canonical text towards the solution of lexical sparsity problems in MRLs more generally, is especially welcome.

Important Dates

Submission deadline:    July 29, 2013
Author Notification:        August 25, 2013
Camera ready copy:      September 05, 2013
Workshop:                    October 18, 2013


This workshop is endorsed  by THE ACL SIGPARSE interest group.

For their precious help preparing the SPMRL 2013 Shared Task and for allowing their data to be part of it, we warmly  thank the Linguistic Data Consortium, the Knowledge Center for Processing Hebrew (MILA),
the Ben Gurion University, Columbia University, Institute of Computer Science (Polish Academy of Sciences), Korea Advanced Institute of Science and Technology, University of the Basque Country, University of Lisbon, Uppsala University, University of Stuttgart,  University of Szeged and University Paris Diderot (Paris 7).

We are also very grateful to the Philosophical Faculty of the Heinrich-Heine Universität Düsseldorf for hosting the shared task data via their dokuwiki.