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  • 标题:Text Generation for Intermediate Non-native Speakers of English
  • 本地全文:下载
  • 作者:Xinyu Deng ; Jun-ichi Nakamura
  • 期刊名称:Information and Media Technologies
  • 电子版ISSN:1881-0896
  • 出版年度:2007
  • 卷号:2
  • 期号:1
  • 页码:229-251
  • DOI:10.11185/imt.2.229
  • 出版社:Information and Media Technologies Editorial Board
  • 摘要:This paper describes the microplanner of the SILK system which can generate texts appropriate for intermediate non-native users on discourse level. Four factors (i.e. nucleus position, between-text-span punctuation, embedded discourse markers and punctuation pattern) are regarded to affect the readability at discourse level. It is the preferences among these factors that decide the readability. Since the number of possible combinations of the preferences is huge, we use Genetic Algorithm to solve such a problem. We adopt two methods to evaluate the system: one is evaluating the reliability of the SILK system by analysing how often it re-generates corpus texts, another is judging readability by human subjects. The evaluation results show that the system is reliable and the generation results are appropriate for intermediate non-native speakers on discourse level.
  • 关键词:text generation;discourse level;Genetic Algorithm;intermediate non-native speakers of English
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