Lena Katharina Schiffer

dblp:254/4286 · DBLP profile ↗
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5ranked-venue papers
2as first author
4since 2021 · last 2023
0000-0002-0164-2932ORCID · corroborated

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Theory of computation · 3 · 2 since 2021Artificial intelligence and machine learning · 2 · 2 first-author · 2 since 2021
YearPublicationVenuePosition
2023 Combinatory categorial grammars as generators of weighted forests
Andreas Maletti, Lena Katharina Schiffer
Inf. Comput.2
2022 Tractable Parsing for CCGs of Bounded Degree
abstract
Abstract Unlike other mildly context-sensitive formalisms, Combinatory Categorial Grammar (CCG) cannot be parsed in polynomial time when the size of the grammar is taken into account. Refining this result, we show that the parsing complexity of CCG is exponential only in the maximum degree of composition. When that degree is fixed, parsing can be carried out in polynomial time. Our finding is interesting from a linguistic perspective because a bounded degree of composition has been suggested as a universal constraint on natural language grammar. Moreover, ours is the first complexity result for a version of CCG that includes substitution rules, which are used in practical grammars but have been ignored in theoretical work.
Lena Katharina Schiffer, Marco Kuhlmann, Giorgio Satta
Comput. Linguistics1
2022 The tree-generative capacity of combinatory categorial grammars
abstract
The generative capacity of combinatory categorial grammars (CCGs) as generators of tree languages is investigated. It is demonstrated that the tree languages generated by CCGs can also be generated by simple monadic context-free tree grammars. However, the important subclass of pure combinatory categorial grammars cannot even generate all regular tree languages. Additionally, the tree languages generated by combinatory categorial grammars with limited rule degrees are characterized: If only application rules are allowed, then these grammars can generate only a proper subset of the regular tree languages, whereas they can generate exactly the regular tree languages once first-degree composition rules are permitted.
Marco Kuhlmann, Andreas Maletti, Lena Katharina Schiffer
J. Comput. Syst. Sci.3
2021 Strong Equivalence of TAG and CCG
abstract
Tree-adjoining grammar (TAG) and combinatory categorial grammar (CCG) are two well-established mildly context-sensitive grammar formalisms that are known to have the same expressive power on strings (i.e., generate the same class of string languages). It is demonstrated that their expressive power on trees also essentially coincides. In fact, CCG without lexicon entries for the empty string and only first-order rules of degree at most 2 are sufficient for its full expressive power.
Lena Katharina Schiffer, Andreas Maletti
Trans. Assoc. Comput. Linguistics1
2019 The Tree-Generative Capacity of Combinatory Categorial Grammars
abstract
The generative capacity of combinatory categorial grammars as acceptors of tree languages is investigated. It is demonstrated that the such obtained tree languages can also be generated by simple monadic context-free tree grammars. However, the subclass of pure combinatory categorial grammars cannot even accept all regular tree languages. Additionally, the tree languages accepted by combinatory categorial grammars with limited rule degrees are characterized: If only application rules are allowed, then they can accept only a proper subset of the regular tree languages, whereas they can accept exactly the regular tree languages once first degree composition rules are permitted.
Marco Kuhlmann, Andreas Maletti, Lena Katharina Schiffer
FSTTCS3