id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_ehgjstdkgncm7pg3typfq6cpcu	Wei Xu	Optimizing Statistical Machine Translation for Text Simplification	2016	16	.pdf	application/pdf	8630	839	58	In this paper, we conduct an indepth adaptation of statistical machine translation to perform text simplification, taking Text simplification has applications for reducing input complexity for natural language processing (Siddharthan considerably less research on developing new paraphrasing models for text simplification — most previous work has used off-the-shelf statistical machine et al., 2015) to address problems in current simplification research — we amend human evaluation criteria, develop automatic metrics, and generate an Our focus on lexical simplification does not affect the generality of the presented work, since deletion or sentence splitting could be applied as preor tuning metrics and rich simplification-specific features into a syntactic machine translation model to Another challenge for text simplification is generating an ample set of rewrite rules that potentially simplify an input sentence. a universal metric that works for multiple text-totext generation tasks (including sentence simplification, compression and error correction), at the same	./cache/work_ehgjstdkgncm7pg3typfq6cpcu.pdf	./txt/work_ehgjstdkgncm7pg3typfq6cpcu.txt