Design of Chinese HPSG Framework for Data-Driven Parsing

نویسندگان

  • Xiangli Wang
  • Shun'ya Iwasawa
  • Yusuke Miyao
  • Takuya Matsuzaki
  • Kun Yu
  • Jun'ichi Tsujii
چکیده

Data-driven parsing has been a main method for analyzing natural languages. We aim at exploring a data-driven Chinese parser, by basing it on Head-driven Phrase Structure Grammar (HPSG). Unlike for English, there is still no available Chinese HPSG framework. As the first step of our work, we design a Chinese HPSG framework, which can be used as the basis for a practical parser. In this paper, 1) we present a Chinese syntactic structure system and 2) we design a primary Chinese HPSG framework.

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تاریخ انتشار 2009