Probabilistic Hierarchical Clustering Of Morphological Paradigms

Manandhar, Suresh Kumar orcid.org/0000-0002-2822-2903 and Can, Burcu (2012) Probabilistic Hierarchical Clustering Of Morphological Paradigms. In: EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics. European Chapter of the Association for Computational Linguistics (EACL), 23 Apr - 27 Nov 2012 Association for Computational Linguistics , FRA , pp. 654-663.

Abstract

We propose a novel method for learning morphological paradigms that are structured within a hierarchy. The hierarchical structuring of paradigms groups morphologically similar words close to each other in a tree structure. This allows detecting morphological similarities easily leading to improved morphological segmentation. Our evaluation using (Kurimo et al., 2011a; Kurimo et al., 2011b) dataset shows that our method performs competitively when compared with current state-of- art systems.

Metadata

Item Type:	Proceedings Paper
Authors/Creators:	Manandhar, Suresh Kumar https://orcid.org/0000-0002-2822-2903 Can, Burcu
Dates:	Published: 23 April 2012
Institution:	The University of York
Academic Units:	The University of York > Faculty of Sciences (York) > Computer Science (York)
Depositing User:	Pure (York)
Date Deposited:	14 Sep 2013 00:40
Last Modified:	02 Jan 2025 00:16
Status:	Published
Publisher:	Association for Computational Linguistics
Open Archives Initiative ID (OAI ID):	oai:eprints.whiterose.ac.uk:75123

Download

Published Version

Filename: E12_1067.pdf

Description: Probabilistic Hierarchical Clustering of Morphological Paradigms

CLICK TO DOWNLOAD

[thumbnail of Probabilistic Hierarchical Clustering of Morphological Paradigms]

CORE (COnnecting REpositories)

Probabilistic Hierarchical Clustering Of Morphological Paradigms

Abstract

Metadata

Download

Published Version

Export

Statistics