Improving Wordnets for Under-Resourced Languages Using Machine Translation
Publication Type:
Refereed Conference Meeting Proceeding
Abstract:
Wordnets are extensively used in natural
language processing, but the current approaches
for manually building a wordnet
from scratch involves large research
groups for a long period of time, which are
typically not available for under-resourced
languages. Even if wordnet-like resources
are available for under-resourced languages,
they are often not easily accessible,
which can alter the results of applications
using these resources. Our proposed
method presents an expand approach for
improving and generating wordnets with
the help of machine translation. We apply
our methods to improve and extend
wordnets for the Dravidian languages, i.e.,
Tamil, Telugu, Kannada, which are severly
under-resourced languages. We report
evaluation results of the generated wordnet
senses in term of precision for these
languages. In addition to that, we carried
out a manual evaluation of the translations
for the Tamil language, where we demonstrate
that our approach can aid in improving
wordnet resources f
Conference Name:
9th Global WordNet Conference
Digital Object Identifer (DOI):
?
Publication Date:
08/01/2018
Conference Location:
Singapore
Research Group:
Institution:
National University of Ireland, Galway (NUIG)
Open access repository:
No
Publication document: