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.
NATURVETENSKAP -- Data- och informationsvetenskap -- Språkteknologi (språkvetenskaplig databehandling) (hsv//swe)
NATURAL SCIENCES -- Computer and Information Science -- Language Technology (Computational Linguistics) (hsv//eng)