DFKI-LT - Dissertation Series
Vol. XXVIIStefan Thater : Minimal Recursion Semantics as Dominance Constraints: Graph-Theoretic Foundation and Application to Grammar Engineering
ISBN: 978-3-933218-26-1
125 pages
price: € 15
This thesis defines a translation from Minimal Recursion Semantics into dominance constraints, two relevant and closely related scope underspecification formalisms. Due to fundamental differences in the way the two formalisms
interpret underspecified descriptions, the translation is restricted to a large class of underspecified descriptions that share certain structural properties.
On the one hand, the translation clarifies the precise relationship between the two formalisms: they are to a large extent essentially equivalent, but differ for certain types of underspecified descriptions. On the other hand, the translation is practically relevant as it allows to share resources and tools available
for the two formalisms: existing broad coverage grammars computing MRS descriptions can be used to derive dominance constraints for a wide variety
of natural language sentences, and the highly efficient algorithms based on dominance constraints can be used to process MRS descriptions.
The translation is based on graph-theoretical concepts. We will show that underspecified descriptions of both formalisms can be represented as dominance graphs, and identify the important subclass of (weak) nets. Nets have
important structural properties, which in particular allow for a correct translation
of MRS descriptions into dominance constraints.
An interesting aspect arises from the restriction of the translation to nets.
We will show thatmost underspecified descriptions that the English Resource Grammar, a state-of-the-art broad coverage grammar, computes are actually
nets, and provide evidence that non-nets are linguistically meaningless i.e., they do not encode the meaning of the underlying sentence correctly. We demonstrate that the concept of a net can be used in grammar verification to
detect incorrect rules in the syntax-semantics interface.
