A study of analogical grids extracted using feature vectors on varying vocabulary sizes in Indonesian

Rashel Fam, Yves Lepage

研究成果: Conference contribution

抜粋

Indonesian as an agglutinating language is known for its derivative morphological richness. Word forms are constructed by combining stem and affixes. In this paper, we study the influence of surface form and morphological information in analogical grids extracted from a set of word forms with varying sizes. Each word form is represented as a feature vector. In the experiment setting, we consider three features: characters, affixes, and morphosyntactic definition. The sizes and saturation are then observed to characterize the extracted grids.

元の言語English
ホスト出版物のタイトル2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019
出版者Institute of Electrical and Electronics Engineers Inc.
ページ255-260
ページ数6
ISBN(電子版)9781728152929
DOI
出版物ステータスPublished - 2019 10
イベント11th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019 - Bali, Indonesia
継続期間: 2019 10 122019 10 13

出版物シリーズ

名前2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019

Conference

Conference11th International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019
Indonesia
Bali
期間19/10/1219/10/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Health Informatics
  • Education
  • Communication

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  • これを引用

    Fam, R., & Lepage, Y. (2019). A study of analogical grids extracted using feature vectors on varying vocabulary sizes in Indonesian. : 2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019 (pp. 255-260). [8979864] (2019 International Conference on Advanced Computer Science and Information Systems, ICACSIS 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACSIS47736.2019.8979864