Publishing Partner: Cambridge University Press CUP Extra Publisher Login
amazon logo
More Info

New from Oxford University Press!


May I Quote You on That?

By Stephen Spector

A guide to English grammar and usage for the twenty-first century, pairing grammar rules with interesting and humorous quotations from American popular culture.

New from Cambridge University Press!


The Cambridge Handbook of Endangered Languages

Edited By Peter K. Austin and Julia Sallabank

This book "examines the reasons behind the dramatic loss of linguistic diversity, why it matters, and what can be done to document and support endangered languages."

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
Institution: University of Maryland
Author: Amy Weinberg
Email: click here TO access email
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.


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

Add a new paper
Return to Academic Papers main page
Return to Directory of Linguists main page