Feature Unification in TAG Derivation Trees
Sylvain Schmitz, Joseph Le Roux

TL;DR
This paper introduces feature-based regular tree grammars, a formalism that captures feature unification in TAG derivation trees, aiding in sentence semantics and generation.
Contribution
It presents a formalism and a translation method from feature-based TAGs to this new formalism, preserving derivation structures and unification.
Findings
Formalism captures feature unification in TAGs
Translation preserves original derivation structures
Facilitates sentence semantics analysis
Abstract
The derivation trees of a tree adjoining grammar provide a first insight into the sentence semantics, and are thus prime targets for generation systems. We define a formalism, feature-based regular tree grammars, and a translation from feature based tree adjoining grammars into this new formalism. The translation preserves the derivation structures of the original grammar, and accounts for feature unification.
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Taxonomy
TopicsNatural Language Processing Techniques · Logic, programming, and type systems · Model-Driven Software Engineering Techniques
