Advanced Natural Language Processing applications are highly dependant on the
handiness of linguistic assets such as WordNet. Despite being a popular language in the …

Despite being a popular language in the world, the Bengali language lacks in having a good
wordnet. This restricts us to do NLP related research work in Bengali. Most of the today's …

Abstract Advanced Natural Language Processing (NLP) applications are increasingly
dependent on the availability of linguistic resources, ranging from digital lexica to rich …

The present paper proposes some innovative methods and strategies that can overcome the
applicational and referential limitations of the existing Bengali WordNet. Also, it suggests …

The EnglishWordNet (EnWN) is extensively used by computational linguists as a lexical-
semantic resource for Natural Language Processing and Knowledge Engineering. EnWN …

Arabic WordNet (AWN) represents one of the best-known lexical resources for the Arabic
language. However, it contains various issues that affect its use in different Natural …

Most Arabic computational linguistics researchers have focused on Modern Standard
Arabic. Linguistic resources and tools for Classical Arabic, especially Al-Hadith Al-Shareef …

In this paper, we are presenting a graphical user interface to browse and explore the
IndoWordnet lexical database for various Indian languages. IndoWordnet visualizer extracts …

Indian language WordNets have their individual web-based browsing interfaces along with
a common interface for IndoWordNet. These interfaces prove to be useful for language …

High-quality WordNets are crucial for achieving high-quality results in NLP applications that
rely on such resources. However, the wordnets of most languages suffer from serious issues …