Malayalam WordNet


Malayalam WordNet is an on line WordNet created for Malayalam Language. Malayalam WordNet has been developed by the Department of Computer Science, Cochin University Of Science And Technology.

History

The first WordNet to be created was the Princeton English WordNet. WordNet was created in the Cognitive Science Laboratory of Princeton University under the direction of professor G. A. Miller starting in 1985. It was followed by EuroWordNet for European languages, based on Princeton WordNet. Hindi WordNet was the first Indian language WordNet to be created. It was developed by the Natural Language Processing group at the Center for Indian Language Technology. It was followed by IndoWordNet which was developed for 18 Indian Languages under the guidance of Dr. Pushpak Bhattacharya, Indian Institute of Technology Bombay. A WordNet for Malayalam language was developed as part of the IndoWordNet under the guidance of Dr. K.P. Soman and Dr. S. Rajendran at Amrita Vishwa Vidyapeetham, Coimbatore.

Features

Malayalam WordNet is an crowd sourced project. IndoWordNet is publicly browsable, but it is not available to edit. Malayalam WordNet allows users to add data to the WordNet in a controlled crowd sourcing manner. Either a set of experts or users itself could review the entries added by other members which helps in maintaining consistent data throughout.
It also has a JSON and XML interfaces which helps the programmers to interact with the WordNet. It would be highly useful for the researchers, language experts as well as application developers.

Team Members

Malayalam WordNet has been developed by the Department of Computer Science, Cochin University Of Science And Technology. The team is headed by Dr. Sumam Mary Idicula. The team also includes Drishya Gopinath and Varghese K. Aniyan

Relationships covered

It gives information about the meaning of the word, position in ontology, an example sentence for the synset and the following relationships:
The alpha version of has been launched on Feb 1,2016. The final version is released on April, 2016.