Accession Number:

ADA440432

Title:

Breaking the Resource Bottleneck for Multilingual Parsing

Descriptive Note:

Corporate Author:

MARYLAND UNIV COLLEGE PARK INST FOR ADVANCED COMPUTER STUDIES

Report Date:

2005-01-01

Pagination or Media Count:

9.0

Abstract:

We propose a framework that enables the acquisition of annotation-heavy resources such as syntactic dependency tree corpora for low-resource languages by importing linguistic annotations from high-quality English resources. We present a large-scale experiment showing that Chinese dependency trees can be induced by using an English parser, a word alignment package, and a large corpus of sentence-aligned bilingual text. As a part of the experiment, we evaluate the quality of a Chinese parser trained on the induced dependency treebank. We find that a parser trained in this manner out-performs some simple baselines inspite of the noise in the induced treebank. The results suggest that projecting syntactic structures from English is a viable option for acquiring annotated syntactic structures quickly and cheaply. We expect the quality of the induced treebank to improve when more sophisticated filtering and error-correction techniques are applied.

Subject Categories:

  • Linguistics
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE