Text simplification for reading assistance

Kentaro Inui · Atsushi Fujita · Tetsuro Takahashi · Ryu Iida · Tomoya Iwakura

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Text Readability and Simplification Natural Language Processing Techniques Hearing Impairment and Communication

Abstract

This paper describes our ongoing research project on text simplification for congenitally deaf people. Text simplification we are aiming at is the task of offering a deaf reader a syntactic and lexical paraphrase of a given text for assisting her/him to understand what it means. In this paper, we discuss the issues we should address to realize text simplification and report on the present results in three different aspects of this task: readability assessment, paraphrase representation and post-transfer error detection.

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2016Optimizing Statistical Machine Translation for Text Simplification 2015Problems in Current Text Simplification Research: New Data Can Help 2017Sentence Simplification with Deep Reinforcement Learning

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