Treebank Non-Projectivity Data #
@cite{kuhlmann-nivre-2006} @cite{kuhlmann-2013}
Empirical data on non-projective structures in dependency treebanks.
Sources #
- @cite{kuhlmann-nivre-2006}. Mildly Non-Projective Dependency Structures. COLING/ACL 2006, Table 1.
- @cite{kuhlmann-2013}. Mildly Non-Projective Dependency Grammar. Computational Linguistics 39(2), Tables 3-4.
Treebank coverage data from @cite{kuhlmann-nivre-2006}, Table 1. Percentages scaled x100 for Nat arithmetic.
- name : String
- totalTrees : Nat
- gapDeg0 : Nat
Percentage x100 of trees at each gap degree
- gapDeg1 : Nat
- gapDeg2 : Nat
- wellNested : Nat
Percentage x100 of well-nested trees
- planar : Nat
Percentage x100 of planar trees
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- Phenomena.WordOrder.NonProjectivity.pdt = { name := "Prague Dependency Treebank", totalTrees := 73088, gapDeg0 := 7685, gapDeg1 := 2272, gapDeg2 := 42, wellNested := 9989, planar := 8216 }
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- Phenomena.WordOrder.NonProjectivity.ddt = { name := "Danish Dependency Treebank", totalTrees := 4393, gapDeg0 := 8495, gapDeg1 := 1489, gapDeg2 := 16, wellNested := 9989, planar := 8641 }
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@cite{kuhlmann-2013} Table 3: rule/tree loss under fan-out bounds. Five languages from the CoNLL 2006 shared task.
- name : String
- totalRules : Nat
- totalTrees : Nat
- rulesLostFanout1 : Nat
Rules lost at fan-out = 1 (projective only)
- treesLostFanout1 : Nat
Trees lost at fan-out = 1
- rulesLostFanout2 : Nat
Rules lost at fan-out <= 2
- treesLostFanout2 : Nat
Trees lost at fan-out <= 2
- rulesLostWN : Nat
Rules lost when also requiring well-nestedness (with fan-out <= 2)
- treesLostWN : Nat
Trees lost when also requiring well-nestedness
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