Literature List


Adam Albright Minimum Generalization
  • Albright, Adam & Bruce Hayes Modeling English Past Tense Intuitions with Minimal Generalization. in: Proceedings of the Sixth Meeting of the ACL Special Interest Group in Computational Phonology 2002
  • Albright, Adam & Bruce Hayes Rules vs. Analogy in English Past Tenses: A Computational/Experimental Study in: Cognition 90, 2003, pp. 119-161
    • Michael Brent: Computational Approaches to Language Acquisition
    Chapt. 1,3
    Alexander Clark Grammatical Inference and Impoverished Stimuli
  • Learning Auxiliary Fronting with Grammatical Inference in: Proceedings of the 10th Conference on Natural Language Learning, CoNLL-X.
  • Grammatical Inference and the Argument from the Poverty of the Stimulus in: AAAI Spring Symposium on Interdisciplinary Approaches to Language Learning
    • William W. Cohen: Fast Effective Rule Induction ("RIPPER")
    David Crystal: Encyclopedia of Language
    • Section VII: Child Language Acquisition, Chap.38-41 (pp.229-245)
    James Cussens & Saso Dzeroski: Learning Language in Logic
    Pg. 1-35, 110-126
    Walter Daelemans Memory-Based Learning
    Article
    • Data Mining as a Method for Linguistic Analysis: Dutch DiminutivesAuthors: Daelemans, W., P. Berck, & S. Gillis. In: Folia Linguistica, XXXI/1-2, 57-75, 1997. See Walter Daelemans's web site for an online copy.
    Jeffrey L. Elman et al: Rethinking Innateness: A Connectionist Perspective on Development
    Article
    Stasinos Konstantopoulos: Inductive Logic Programming
    ESSLLI 2001
    Toben H. Mintz et al.: Distributional Regularities of Form Class in Speech to Young Children
    Article
    Tom Mitchell: Machine learning
    Chapt. 1,2,6,8,10
    Elissa L. Newport et al.: Innately Constrained Learning: Blending Old and New Approaches to Language Acquisition
    Article
    Geoffrey Pullum: Empirical Assessment of Stimulus Poverty Arguments
    Ivilin Stoianov: Connectionist Lexical Processing
    Chapt. 4.4 - 4.6, 5
    Niels Taatgen: Learning without limits: from problem solving towards a unified theory of learning
    Erik Tjong Kim Sang: Machine learning of phonotactics
    Michael Tomasello:Functionalist and Anti-Nativist Acquisition