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文章基本信息

  • 标题:Modeling morphological learning,typology,and change: What can the neural sequence-to-sequence framework contribute?
  • 本地全文:下载
  • 作者:Micha Elsner ; Andrea D. Sims ; Alexander Erdmann
  • 期刊名称:Journal of Language Modelling
  • 印刷版ISSN:2299-856X
  • 电子版ISSN:2299-8470
  • 出版年度:2019
  • 卷号:7
  • 期号:1
  • 页码:53-98
  • DOI:10.15398/jlm.v7i1.244
  • 语种:English
  • 出版社:Polish Academy of Sciences
  • 摘要:We survey research using neural sequence-to-sequence models as computational models of morphological learning and learnability.We dis_cuss their use in determining the predictability of inflectional expo_nents,in making predictions about language acquisition and in mod?eling language change.Finally,we make some proposals for future work in these areas.
  • 关键词:morphology;computational modeling;typology
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