Kuhlmann 2013: Mildly Non-Projective Dependency Grammar #
Figure 1's Dutch/German minimal pair — cross-serial dependencies against nested infinitives, the same dependencies in opposite verb-cluster orders — and the LCFRS coverage data of Tables 3-4: rule and tree loss under fan-out and well-nestedness bounds for five languages from the CoNLL 2006 shared task.
Main declarations #
Kuhlmann2013.dutchCrossSerial,Kuhlmann2013.germanNested: Figure 1's minimal pair, separated by gap degreeKuhlmann2013.LCFRSCoverage: rule/tree loss row under fan-out boundsKuhlmann2013.arabic,Kuhlmann2013.czech,Kuhlmann2013.danish,Kuhlmann2013.slovene,Kuhlmann2013.turkish: Tables 3-4 rowsKuhlmann2013.fanout2_good_coverage: fan-out ≤ 2 loses under 1% of trees in every language
Figure 1: cross-serial against nested #
The same dependencies in opposite verb-cluster orders. The Dutch order is non-projective and the German one is not, so the pair separates the two regimes while holding the dependency structure fixed.
Dutch cross-serial: "dat Jan Piet Marie zag helpen lezen".
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German nested: "dass Jan Piet Marie lesen helfen sah".
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The Dutch fixture as a bundled Tree: the dominance-order API applies
with no side conditions.
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Tables 3-4: LCFRS coverage #
[Kuh13] Table 3: rule/tree loss under fan-out bounds. Five languages from the CoNLL 2006 shared task.
- name : String
- totalRules : ℕ
- totalTrees : ℕ
- rulesLostFanout1 : ℕ
Rules lost at fan-out = 1 (projective only)
- treesLostFanout1 : ℕ
Trees lost at fan-out = 1
- rulesLostFanout2 : ℕ
Rules lost at fan-out ≤ 2
- treesLostFanout2 : ℕ
Trees lost at fan-out ≤ 2
- rulesLostWN : ℕ
Rules lost when also requiring well-nestedness (with fan-out ≤ 2)
- treesLostWN : ℕ
Trees lost when also requiring well-nestedness
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- Kuhlmann2013.instReprLCFRSCoverage = { reprPrec := Kuhlmann2013.instReprLCFRSCoverage.repr }
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Arabic row of [Kuh13] Tables 3-4.
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Czech row of [Kuh13] Tables 3-4.
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Danish row of [Kuh13] Tables 3-4.
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Slovene row of [Kuh13] Tables 3-4.
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Turkish row of [Kuh13] Tables 3-4.
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Fan-out ≤ 2 (block-degree ≤ 2) loses very few trees across all languages ([Kuh13] Tables 3-4).