This paper reports on the first shared task on statistical parsing of morphologically rich languages (MRLs). The task features data sets from nine languages, each available both in constituency and dependency annotation. We report on the preparation of the data sets, on the proposed parsing scenarios, and on the evaluation metrics for parsing MRLs given different representation types. We present and analyze parsing results obtained by the task participants, and then provide an analysis and comparison of the parsers across languages and frameworks, reported for gold input as well as more realistic parsing scenarios.
Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
Djamé Seddah,Reut Tsarfaty,Sandra Kübler,Marie Candito,Jinho D. Choi,Richárd Farkas,Jennifer Foster,Iakes Goenaga,Koldo Gojenola,Yoav Goldberg,Spence Green,Nizar Habash,Marco Kuhlmann,Wolfgang Maier,Joakim Nivre,A. Przepiórkowski,Ryan Roth,Wolfgang Seeker,Yannick Versley,V. Vincze,Marcin Woliński,Alina Wróblewska,Eric Villemonte de la Clergerie
Published 2013 in SPMRL@EMNLP
ABSTRACT
PUBLICATION RECORD
- Publication year
2013
- Venue
SPMRL@EMNLP
- Publication date
2013-10-18
- Fields of study
Linguistics, Computer Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.