IndoWordNet

IndoWordNet[1] is a linked lexical knowledge base of wordnets of 18 scheduled languages of India, viz., Assamese, Bangla, Bodo, Gujarati, Hindi, Kannada, Kashmiri, Konkani, Malayalam, Meitei (Manipuri), Marathi, Nepali, Odia, Punjabi, Sanskrit, Tamil, Telugu and Urdu.

Background

In early 90s, the wordnet for English- called Princeton WordNet- was created in Princeton University by George Miller and Christiane Fellbaum who went on to get the prestigious Zampoli Prize in 2006.[2] Then followed the EuroWordNet- the conglomeration of European Language wordnets- which got created in 1998.[3] Wordnets are now essential resources for Natural Language Processing, Information Extraction, Word Sense Disambiguation and such other computations involving text.

Importance of Indian languages

Indian languages form a very significant component of the languages landscape of the world. There are 4 streams of language typology operative in the Indian subcontinent- Indo European, Dravidian, Tibeto Burman and Austro Asiatic.[4] Many languages rank within top 10 in the world in terms of the population speaking them, e.g., Hindi-Urdu 5th, Bangla 7th, Marathi 12th and so on as per the List of languages by number of native speakers. Creating wordnets of Indian languages is therefore a highly important techno-scientific and linguistic project.

Genesis of Indian language wordnets

Such project indeed took off in 2000 with Hindi WordNet being created by the Natural Language Processing group at the Center for Indian Language Technology (CFILT) in the Computer Science and Engineering Department at IIT Bombay.[5] It was made publicly available in 2006 under the GNU license. The Hindi WordNet was created with support from the TDIL project of Ministry of Communication and Information Technology, India and also partially from Ministry of Human Resources Development, India.

Wordnets of other languages of India then followed suit. The large nationwide project of building Indian language wordnets was called the IndoWordNet project. IndoWordNet[1] is a linked lexical knowledge base of wordnets of 18 scheduled languages of India, viz., Assamese, Bangla, Bodo, Gujarati, Hindi, Kannada, Kashmiri, Konkani, Malayalam, Meitei, Marathi, Nepali, Oriya, Punjabi, Sanskrit, Tamil, Telugu and Urdu. The wordnets are getting created by using expansion approach from the Hindi WordNet. The Hindi WordNet was created from first principles (mentioned below) and was the first wordnet for an Indian language. The method adopted was same as the Princeton WordNet for English.

Polish WordNet is being mapped to Princeton WordNet based on the strategy followed by IndoWordNet.[6]

Principles of wordnet construction

The wordnets follow the principles of minimality, coverage and replaceability for the synsets. That means, there should be at least a 'core' set of lexemes in the synset that uniquely give the concept represented by the synset (minimality), e.g., {house, family} standing for the concept of 'family' ("she is from a noble house"). Then the synset should cover ALL the words representing the concept in the language (coverage), e.g., the word 'menage' will have to appear in the 'family' synset, albeit, towards the end of the synset, since its usage is rare. Finally, the words towards the beginning of the synset should be able to replace one another in reasonable amount of corpora (replaceability), e.g., 'house' and 'family' can replace each other in the sentence "she is from a noble house".

Statistics of Indian language wordnets

The number of synsets (As of August 2014) in the languages and the institutes creating the language WordNets are as below:

Language Synsets Institute
Assamese14958Guwahati University, Guwahati, Assam
Bengali36346Indian Statistical Institute, Kolkata, West Bengal
Bodo15785Guwahati University, Guwahati, Assam
Gujarati35599Dharamsinh Desai University, Nadiad, Gujarat
Hindi38607IIT Bombay, Mumbai, Maharashtra
Kannada20033Mysore University, Mysore, Karnataka
Kashmiri29469Kashmir University, Srinagar, Jammu and Kashmir
Konkani32370Goa University, Taleigao, Goa
Malayalam30060Amrita University, Coimbatore, Tamil Nadu
Marathi29674IIT Bombay, Mumbai, Maharashtra
Meitei16351Manipur University, Imphal, Manipur
Nepali11713Assam University, Silchar, Assam
Oriya35284Hyderabad Central University, Hyderabad, Andhra Pradesh
Punjabi32364Thapar University and Punjabi University, Patiala, Punjab
Sanskrit23140IIT Bombay, Mumbai, Maharashtra
Tamil25431Tamil University, Thanjavur, Tamil Nadu
Telugu21925Dravidian University, Kuppam, Andhra Pradesh
Urdu34280Jawaharlal Nehru University, New Delhi

Summary

IndoWordNet is highly similar to EuroWordNet. However, the pivot language is Hindi which, of course, is linked to the English WordNet. Also typical Indian language phenomena like complex predicates and causative verbs are captured in IndoWordNet.

IndoWordNet is publicly browsable. The Indian language wordnet building efforts forming the subcomponents of IndoWordNet project are: North East WordNet project, Dravidian WordNet Project and Indradhanush project all of which are funded by the TDIL project.

References

  1. Pushpak Bhattacharyya, IndoWordNet, Lexical Resources Engineering Conference 2010 (LREC 2010), Malta, May, 2010.
  2. Christiane Fellbaum (ed.), WordNet: An Electronic Lexical Database, MIT Press, 1998.
  3. P. Vossen (ed.), EuroWordNet: A Multilingual Database with Lexical Semantic Networks, Kluwer Pub., 1998.
  4. Joseph E. Schwartzberg,Encyclopædia Britannica, IndiaLinguistic Composition, 2007.
  5. Dipak Narayan, Debasri Chakrabarty, Prabhakar Pande and P. Bhattacharyya An Experience in Building the Indo WordNet- a WordNet for Hindi, International Conference on Global WordNet (GWC 02), Mysore, India, January, 2002.
  6. Rudnicka, E., Maziarz, M., Piasecki, M., & Szpakowicz, S. (2012). Mapping plWordNet onto Princeton WordNet, 24th International Conference on Computational Linguistics (COLING), India, December 2012
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.