Accession Number:

AD1040168

Title:

An Unsupervised Method for Uncovering Morphological Chains (Open Access, Publisher's Version)

Descriptive Note:

Journal Article - Open Access

Corporate Author:

Massachusetts Institute of Technology Cambridge United States

Report Date:

2015-03-08

Pagination or Media Count:

12.0

Abstract:

Most state-of-the-art systems today produce morphological analysis based only on orthographic patterns. In contrast, we propose a model for unsupervised morphological analysis that integrates orthographic and semantic views of words. We model word formation in terms of morphological chains, from base words to the observed words, breaking the chains into parent-child relations. We use log-linear models with morpheme and word-level features to predict possible parents, including their modifications, for each word. The limited set of candidate parents for each word render contrastive estimation feasible. Our model consistently matches or outperforms five state-of-the-art systems on Arabic, English and Turkish.

Subject Categories:

  • Linguistics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE