An NLP-based Reading Tool for Aiding Non-native English Readers

نویسندگان

  • Mahmoud Azab
  • Ahmed Salama
  • Kemal Oflazer
  • Hideki Shima
  • Jun Araki
  • Teruko Mitamura
چکیده

This paper describes a text-reading tool that makes extensive use of widelyavailable NLP tools and resources to aid non-native English speakers overcome language related hindrances while reading a text. It is a web-based tool, that can be accessed from browsers running on PCs or tablets, and provides the reader with an intelligent e-book functionality.

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تاریخ انتشار 2013