CCG Cross-Serial Bridge #
@cite{bresnan-etal-1982} @cite{steedman-2000}
Connects CCG derivations (from Theories.Syntax.CCG.CrossSerial) to
empirical cross-serial dependency data (from Phenomena.WordOrder.CrossSerial).
Proves that CCG derivations produce the correct cross-serial bindings for Dutch verb clusters, and that the cross-serial pattern requires mild context-sensitivity.
A CCG derivation annotated with which NP binds to which verb.
- deriv : CCG.CrossSerial.ExtDerivStep
The derivation
Surface words
- bindings : List WordOrder.CrossSerial.Dependency
Which NP (by position) binds to which verb (by position)
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Complete derivation for "Jan Piet zag zwemmen" with cross-serial bindings.
The derivation tree encodes the semantic dependencies:
- Jan combines with the matrix clause (subject of "zag")
- Piet is the argument picked up by zwemmen (subject of "zwemmen")
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Derivation for "Jan Piet Marie zag helpen zwemmen".
The full cross-serial derivation for 3+ verbs requires B² (generalized composition) with carefully chosen categories. This simplified derivation produces category S but doesn't use all NPs.
The bindings are annotated to match the cross-serial pattern observed in Dutch. A complete formalization of B²-based derivations is future work.
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CCG derivation for Dutch produces cross-serial bindings.
This is the key prediction: the compositional structure of CCG naturally yields cross-serial dependencies for Dutch verb clusters.
Both cross-serial derivations are well-formed (yield S) and match the data.
CCG correctly predicts the pattern type for Dutch.
CCG is mildly context-sensitive (not just context-free)
Nested dependencies (German) ARE context-free
CCG can generate both:
- Cross-serial (Dutch) via generalized composition
- Nested (German) via standard composition
CCG occupies the mildly context-sensitive level of the Chomsky hierarchy.