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The Social Origins of Language

By Daniel Dor

Presents a new theoretical framework for the origins of human language and sets key issues in language evolution in their wider context within biological and cultural evolution


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Preposition Placement in English: A Usage-Based Approach

By Thomas Hoffmann

This is the first study that empirically investigates preposition placement across all clause types. The study compares first-language (British English) and second-language (Kenyan English) data and will therefore appeal to readers interested in world Englishes. Over 100 authentic corpus examples are discussed in the text, which will appeal to those who want to see 'real data'


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Free Access 4 You

Free access to several Brill linguistics journals, such as Journal of Jewish Languages, Language Dynamics and Change, and Brill’s Annual of Afroasiatic Languages and Linguistics.


Academic Paper


Title: Bootstrapping parsers via syntactic projection across parallel texts
Author: Rebecca Hwa
Institution: University of Pittsburgh
Author: Philip Resnik
Email: click here to access email
Homepage: http://umiacs.umd.edu/~resnik
Institution: University of Maryland
Author: Amy Weinberg
Email: click here to access email
Homepage: http://www.umiacs.umd.edu/%7Eweinberg/
Institution: University of Maryland
Author: Clara Cabezas
Institution: University of Maryland
Author: Okan Kolak
Institution: University of Maryland
Linguistic Field: Computational Linguistics
Abstract: Broad coverage, high quality parsers are available for only a handful of languages. A prerequisite for developing broad coverage parsers for more languages is the annotation of text with the desired linguistic representations (also known as "treebanking"). However, syntactic annotation is a labor intensive and time-consuming process, and it is difficult to find linguistically annotated text in sufficient quantities. In this article, we explore using parallel text to help solving the problem of creating syntactic annotation in more languages. The central idea is to annotate the English side of a parallel corpus, project the analysis to the second language, and then train a stochastic analyzer on the resulting noisy annotations. We discuss our background assumptions, describe an initial study on the "projectability" of syntactic relations, and then present two experiments in which stochastic parsers are developed with minimal human intervention via projection from English.

CUP at LINGUIST

This article appears in Natural Language Engineering Vol. 11, Issue 3, which you can read on Cambridge's site or on LINGUIST .



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