Restricted Non-Projectivity: Coverage vs. Efficiency
Author(s) -
Carlos GómezRodríguez
Publication year - 2016
Publication title -
computational linguistics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.314
H-Index - 98
eISSN - 1530-9312
pISSN - 0891-2017
DOI - 10.1162/coli_a_00267
Subject(s) - computer science , parsing , dependency (uml) , dependency grammar , natural language processing , range (aeronautics) , artificial intelligence , relation (database) , syntactic structure , syntax , data mining , materials science , composite material
[Abstract] In the last decade, various restricted classes of non-projective dependency trees have been proposed with the goal of achieving a good tradeoff between parsing efficiency and coverage of the syntactic structures found in natural languages. We perform an extensive study measuring the coverage of a wide range of such classes on corpora of 30 languages under two different syntactic annotation criteria. The results show that, among the currently known relaxations of projectivity, the best tradeoff between coverage and computational complexity of exact parsing is achieved by either 1-endpoint-crossing trees or MH k trees, depending on the level of coverage desired. We also present some properties of the relation of MH k trees to other relevant classes of trees.Ministerio de Economía y Competitividad (MINECO). TELEPARES-UDC projectXunta de Galicia. Programa Oportuniu
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