Abstract
In parsing with Tree Adjoining Grammar TAG, independent derivations have been shown by Schabes and Shieber 1994 to be essential for correctly supporting syntactic analysis, semantic interpretation, and statistical language modeling. However, the parsing algorithm they propose is not directly applicable to Feature-Based TAGs FB-TAG. We provide a recognition algorithm for FB-TAG that supports both dependent and independent derivations. The resulting algorithm combines the benefits of independent derivations with those of Feature-Based grammars. In particular, we show that it accounts for a range of interactions between dependent vs. independent derivation on the one hand, and syntactic constraints, linear ordering, and scopal vs. nonscopal semantic dependencies on the other hand.
Original language | English |
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Pages (from-to) | 41-70 |
Number of pages | 30 |
Journal | Computational Linguistics |
Volume | 41 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Mar 2015 |