|Abstract||I think that some of the arguments in this article are themselves flawed, or are based on an understanding of linguistics that is too narrowly focused on certain versions of generative grammar. For example, the argument that in computational applications purely statistical approaches are in general more successful than rule-based approaches has to be qualified: It holds, or may have hold, for certain applications like machine translation, but not for others, like the generation of text to answer queries to databases. Furthermore, statistical methods have been integrated in certain linguistic theories themselves, like stochastic optimality theory (Boersma & Hayes 2001). The authors also claim that linguistics is not able to come up with leading questions for the cognitive and neurophysiological investigation of language processing. This statement is even more puzzling, as it is difficult to name serious research in psycholinguistics or in neurophysiological aspects of language processing that is not informed by theoretical notions rooted in linguistics, many of them derived from generative grammar. To cite just one case: Recursion has been proposed – perhaps unjustly so – as the single property that distinguishes human language processing from other animal communication systems; this has led to the identification of special brain regions and pathways of recursive language processing (cf. Friederici 2009).|
|Keywords||No keywords specified (fix it)|
|Through your library||Only published papers are available at libraries|
Similar books and articles
Ray Jackendoff (2003). Précis of Foundations of Language: Brain, Meaning, Grammar, Evolution,. Behavioral and Brain Sciences 26 (6):651-665.
Martha Stone Palmer (2006). Semantic Processing for Finite Domains. Cambridge University Press.
Jan van Bakel (1984). Automatic Semantic Interpretation: A Computer Model of Understanding Natural Language. Foris Publications.
Simon Garrod & Martin J. Pickering (2003). Linguistics Fit for Dialogue. Behavioral and Brain Sciences 26 (6):678-678.
Michael J. Spivey & Monica Gonzalez-Marquez (2003). Rescuing Generative Linguistics: Too Little, Too Late? Behavioral and Brain Sciences 26 (6):690-691.
Michael Levison (2012). The Semantic Representation of Natural Language. Bloomsbury Academic.
Maria Bittner (2006). Ontology for Human Talk and Thought (Not Robotics). Theoretical Linguistics 32 (1):47-56.
Daniel Jurafsky & James H. Martin (2000). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall.
Johanna N. Y. Franklin & Frank Stephan (2010). Van Lambalgen's Theorem and High Degrees. Notre Dame Journal of Formal Logic 52 (2):173-185.
Added to index2011-03-12
Total downloads9 ( #114,124 of 549,129 )
Recent downloads (6 months)1 ( #63,397 of 549,129 )
How can I increase my downloads?