David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Ezio Di Nucci
Jonathan Jenkins Ichikawa
Jack Alan Reynolds
Learn more about PhilPapers
In this paper, we explore the possibility that machine learning approaches to naturallanguage processing being developed in engineering-oriented computational linguistics may be able to provide specific scientific insights into the nature of human language. We argue that, in principle, machine learning results could inform basic debates about language, in one area at least, and that in practice, existing results may offer initial tentative support for this prospect. Further, results from computational learning theory can inform arguments carried on within linguistic theory as well.
|Keywords||No keywords specified (fix it)|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library||
References found in this work BETA
No references found.
Citations of this work BETA
Alexander Clark & Shalom Lappin (2013). Complexity in Language Acquisition. Topics in Cognitive Science 5 (1):89-110.
Adele E. Goldberg (2013). Explanation and Constructions: Response to Adger. Mind and Language 28 (4):479-491.
Ofra Magidor (2010). Natural Language and How We Use It: Psychology, Pragmatics, and Presupposition. Analysis 70 (1):160-174.
Similar books and articles
Shalom Lappin with S. Shieber, Machine Learning Theory and Practice as a Source of Insight Into Universal Grammar.
Jonathan Ginzburg & Shalom Lappin, Using Machine Learning for Non-Sentential Utterance Classiﬁcation.
S. Russell (1991). Inductive Learning by Machines. Philosophical Studies 64 (October):37-64.
Martin Možina, Jure Žabkar, Trevor Bench-Capon & Ivan Bratko (2005). Argument Based Machine Learning Applied to Law. Artificial Intelligence and Law 13 (1):53-73.
Gilbert Harman & Sanjeev Kulkarni, Statistical Learning Theory as a Framework for the Philosophy of Induction.
Added to index2009-01-28
Total downloads40 ( #108,455 of 1,934,371 )
Recent downloads (6 months)3 ( #195,883 of 1,934,371 )
How can I increase my downloads?