id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_5z7jukcuuzcjpf3dkbskq4rrc4	Benjamin Börschinger	Exploring the Role of Stress in Bayesian Word Segmentation using Adaptor Grammars	2014	12	.pdf	application/pdf	7628	693	65	Exploring the Role of Stress in Bayesian Word Segmentation using Adaptor Grammars Exploring the Role of Stress in Bayesian Word Segmentation using Adaptor Bayesian word segmentation model to take advantage of stress cues noticeably improves its investigated the role of stress in word segmentation using computational models, using both neural network and "algebraic" (as opposed to "statistical") approaches (Christiansen et al., 1998; Yang, Bayesian models of word segmentation (Brent, 1999; Goldwater, 2007), however, have who added stress cues to the Bigram model (Goldwater et al., 2009), demonstrating that this leads to Following Cutler and Carter (1987)'s observation that stressed syllables tend to occur at the beginnings of words in English, Jusczyk et al. The earliest computational model for word segmentation incorporating stress cues we are aware of 2005), the high score Yang reported crucially depends on every word token carrying stress, including stress cues for the colloc3-nophon model, we do see	./cache/work_5z7jukcuuzcjpf3dkbskq4rrc4.pdf	./txt/work_5z7jukcuuzcjpf3dkbskq4rrc4.txt