@InProceedings{shain-EtAl:2016:COLING,
  author    = {Shain, Cory  and  Bryce, William  and  Jin, Lifeng  and  Krakovna, Victoria  and  Doshi-Velez, Finale  and  Miller, Timothy  and  Schuler, William  and  Schwartz, Lane},
  title     = {Memory-Bounded Left-Corner Unsupervised Grammar Induction on Child-Directed Input},
  booktitle = {Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers},
  month     = {December},
  year      = {2016},
  address   = {Osaka, Japan},
  publisher = {The COLING 2016 Organizing Committee},
  pages     = {964--975},
  abstract  = {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 extent to
	which human language learners can discover hierarchical syntax through
	distributional statistics alone, by modeling two widely-accepted features of
	human language acquisition and sentence processing that have not been
	simultaneously modeled by any existing grammar induction algorithm: (1) a
	left-corner parsing strategy and (2) limited working memory capacity. To model
	realistic input to human language learners, we evaluate our system on a corpus
	of child-directed speech rather than typical newswire corpora. Results beat or
	closely match those of three competing systems.},
  url       = {http://aclweb.org/anthology/C16-1092}
}