| dc.description.abstract |
Natural language processing (NLP) tasks such as
word sense disambiguation, machine translation (MT) and
part-of-speech tagging etc. require large scale lexical
resources. These lexical resources have already been developed
for digitally advanced languages, such as English, but
yet to be developed for widely spoken but digitally young
languages, such as Punjabi. WordNet is one such lexical
resource that can be used for variety of NLP tasks ranging
from digital dictionary to automated MT. The basic building
block of WordNet is synset, a word sense with which one or
more synonymous words are associated. Each synset in
WordNet is linked to other synsets using lexical and semantic
relations. Lexical relations are between word forms, whereas
semantic relations exist between two whole synsets. This
paper presents lexical and semantic relations of Punjabi
WordNet, including synonymy, hypernymy/hyponymy,
meronymy/holonomy, entailment and troponymy etc. It also
illustrates the process of creation of Punjabi synsets from
Hindi synsets, design of synsets and semantic databases for
implementation of semantic relations for Punjabi WordNet |
en_US |