Current chart-based parsers of Minimalist Grammars exhibit prohibitively high polynomial complexity that makes them unusable in practice. This paper presents a transition-based parser for Minimalist Grammars that approximately searches through the space of possible derivations by means of beam search, and does so very efficiently: the worst case complexity of building one derivation is O(n2) and the best case complexity is O(n). This approximated inference can be guided by a trained probabilistic model that can condition on larger context than standard chart-based parsers. The transitions of the parser are very similar to the transitions of bottom-up shift-reduce parsers for Context-Free Grammars, with additional transitions for online reordering of words during parsing in order to make non-projective derivations projective.
|Name||Lecture Notes in Computer Science|
|Publisher||Springer, Berlin, Heidelberg|
|Name||Theoretical Computer Science and General Issues|