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Natural Language Parsing: New Perspectives from Contemporary Biolinguistics

Natural Language Parsing: New Perspectives from Contemporary Biolinguistics

Pauli Brattico, Mikko Maatta
Copyright: © 2009 |Pages: 18
ISBN13: 9781605662466|ISBN10: 1605662461|ISBN13 Softcover: 9781616925413|EISBN13: 9781605662473
DOI: 10.4018/978-1-60566-246-6.ch007
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MLA

Brattico, Pauli, and Mikko Maatta. "Natural Language Parsing: New Perspectives from Contemporary Biolinguistics." Open Information Management: Applications of Interconnectivity and Collaboration, edited by Samuli Niiranen, et al., IGI Global, 2009, pp. 158-175. https://doi.org/10.4018/978-1-60566-246-6.ch007

APA

Brattico, P. & Maatta, M. (2009). Natural Language Parsing: New Perspectives from Contemporary Biolinguistics. In S. Niiranen, J. Yli-Hietanen, & A. Lugmayr (Eds.), Open Information Management: Applications of Interconnectivity and Collaboration (pp. 158-175). IGI Global. https://doi.org/10.4018/978-1-60566-246-6.ch007

Chicago

Brattico, Pauli, and Mikko Maatta. "Natural Language Parsing: New Perspectives from Contemporary Biolinguistics." In Open Information Management: Applications of Interconnectivity and Collaboration, edited by Samuli Niiranen, Jari Yli-Hietanen, and Artur Lugmayr, 158-175. Hershey, PA: IGI Global, 2009. https://doi.org/10.4018/978-1-60566-246-6.ch007

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Abstract

Automatic natural language processing captures a lion’s share of the attention in open information management. In one way or another, many applications have to deal with natural language input. In this chapter the authors investigate the problem of natural language parsing from the perspective of biolinguistics. They argue that the human mind succeeds in the parsing task without the help of languagespecific rules of parsing and language-specific rules of grammar. Instead, there is a universal parser incorporating a universal grammar. The main argument comes from language acquisition: Children cannot learn language specific parsing rules by rule induction due to the complexity of unconstrained inductive learning. They suggest that the universal parser presents a manageable solution to the problem of automatic natural language processing when compared with parsers tinkered for specific purposes. A model for a completely language independent parser is presented, taking a recent minimalist theory as a starting point.

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