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Language Planning as a Sociolinguistic Experiment

By: Ernst Jahr

Provides richly detailed insight into the uniqueness of the Norwegian language development. Marks the 200th anniversary of the birth of the Norwegian nation following centuries of Danish rule


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Acquiring Phonology: A Cross-Generational Case-Study

By Neil Smith

The study also highlights the constructs of current linguistic theory, arguing for distinctive features and the notion 'onset' and against some of the claims of Optimality Theory and Usage-based accounts.


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Language Production and Interpretation: Linguistics meets Cognition

By Henk Zeevat

The importance of Henk Zeevat's new monograph cannot be overstated. [...] I recommend it to anyone who combines interests in language, logic, and computation [...]. David Beaver, University of Texas at Austin


Academic Paper


Title: 'An empirical generative framework for computational modeling of language acquisition'
Author: HeidiRWaterfall
Email: click here to access email
Institution: 'Cornell University'
Author: BenSandbank
Institution: 'Tel Aviv University'
Author: LucaOnnis
Institution: 'University of Hawaii'
Author: ShimonEdelman
Email: click here to access email
Homepage: 'http://kybele.psych.cornell.edu/~edelman'
Institution: 'Cornell University'
Linguistic Field: 'Computational Linguistics; Language Acquisition'
Abstract: This paper reports progress in developing a computer model of language acquisition in the form of (1) a generative grammar that is (2) algorithmically learnable from realistic corpus data, (3) viable in its large-scale quantitative performance and (4) psychologically real. First, we describe new algorithmic methods for unsupervised learning of generative grammars from raw CHILDES data and give an account of the generative performance of the acquired grammars. Next, we summarize findings from recent longitudinal and experimental work that suggests how certain statistically prominent structural properties of child-directed speech may facilitate language acquisition. We then present a series of new analyses of CHILDES data indicating that the desired properties are indeed present in realistic child-directed speech corpora. Finally, we suggest how our computational results, behavioral findings, and corpus-based insights can be integrated into a next-generation model aimed at meeting the four requirements of our modeling framework.

CUP at LINGUIST

This article appears in Journal of Child Language Vol. 37, Issue 3, which you can read on Cambridge's site or on LINGUIST .



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