A child verb learning model based on syntactic bootstrapping

Tiansheng Xu*, Zenshiro Kawasaki, Keiji Takida, Zheng Tang

*この論文の責任著者

研究成果: ジャーナルへの寄稿学術論文査読

1 被引用数 (Scopus)

抄録

This paper presents a child verb learning model mainly based on syntactic bootstrapping. The model automatically learns 4-5-year-old children's linguistic knowledge of verbs, including subcategorization frames and thematic roles, using a text in dialogue format. Subcategorization frame acquisition of verbs is guided by the assumption of the existence of nine verb prototypes. These verb prototypes are extracted based on syntactic bootstrapping and some psycholinguistic studies. Thematic roles are assigned by syntactic bootstrapping and other psycholinguistic hypotheses. The experiments are performed on the data from the CHILDES database. The results show that the learning model successfully acquires linguistic knowledge of verbs and also suggest that psycholinguistic studies of child verb learning may provide important hints for linguistic knowledge acquisition in natural language processing (NLP).

本文言語英語
ページ(範囲)985-993
ページ数9
ジャーナルIEICE Transactions on Information and Systems
E85-D
6
出版ステータス出版済み - 2002/06

ASJC Scopus 主題領域

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能

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