Using Left-corner Parsing to Encode Universal Structural Constraints in Grammar Induction

Left-corner Methods for Syntactic Modeling with Universal Structural Constraints

The primary goal in this thesis is to identify better syntactic constraint or bias, that is language independent but also efficiently exploitable during sentence processing. We focus on a particular syntactic constructio…

A Sound and Complete Left-Corner Parsing for Minimalist Grammars

This paper presents a left-corner parser for minimalist grammars. The relation between the parser and the grammar is transparent in the sense that there is a very simple 1-1 correspondence between derivations and parses.…

Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars

In computational linguistics, it has been shown that hierarchical structures make language models (LMs) more human-like. However, the previous literature has been agnostic about a parsing strategy of the hierarchical mod…

Left-corner Transitions on Dependency Parsing

Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input

This paper presents a new memory-bounded left-corner parsing model for unsupervised raw-text syntax induction, using unsupervised hierarchical hidden Markov models (UHHMM). We deploy this algorithm to shed light on the e…