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文章基本信息

  • 标题:Syntactic Sentence Fusion Techniques for Bengali
  • 本地全文:下载
  • 作者:Amitava Das ; Sivaji Bandyopadhyay
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2011
  • 卷号:2
  • 期号:1
  • 页码:494-503
  • 出版社:TechScience Publications
  • 摘要:The present paper describes various syntactic sentence fusion techniques for Bengali language that belongs to the Indo-Aryan language family. Firstly a clause identification and classification system marks clause boundaries and classifies them as principle clause and subordinate clauses. A rule-based sentence classification system has been developed to categorize sentences as simple, complex and compound. The final syntactic sentence fusion system makes use of the sentence class and the clause types and finally fuses two textually entailed sentences using verb paradigm information and noun morphological information. The system outputs are compared with a gold standard data set using manual evaluation and BLEU techniques. The evaluation results yield good accuracy scores. The syntactic sentence fusion technique developed in the present work may be applied for other Indian languages.
  • 关键词:Clause Identification and Classification; Sentence;Type; Syntactic Sentence Fusion; Evaluation
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