Abstract:
Manually produced lexical resources are
time-consuming and labour-intensive. Therefore,
automatically identifying these resources is
important to overcome knowledge bottleneck in
natural language processing. This paper deals
with the task of finding synonyms and near
synonyms from raw data for the lexical
substitution task. In this paper, an approach for
automatically identifying synonyms is presented
to support the process of semantic simplification
for Myanmar text. Candidate synonyms for a
target word will be generated using latent
semantic analysis (LSA), which is a fully
automatic statistical technique for extracting
relations of expected contextual usage of words.
This work can be helpful for thesaurus
construction for Myanmar language.
