This contributed volume discusses in detail the process of construction of a Word Net of 18 Indian languages, called “Indradhanush” (rainbow) in Hindi. It delves into the major challenges involved in developing a Word Net in a multilingual country like India, where the information spread across the languages needs utmost care in processing, synchronization and representation. The project has emerged from the need of millions of people to have access to relevant content in their native languages, and it provides a common interface for information sharing and reuse across the Indian languages.
The chapters discuss important methods and strategies of language computation, language data processing, lexical selection and management, and language-specific synset collection and representation, which are of utmost value for the development of a Word Net in any language. The volume overall gives a clear picture of how Word Net is developed in Indian languages and how this canbe utilized in similar projects for other languages. It includes illustrations, tables, flowcharts, and diagrams for easy comprehension.
This volume is of interest to researchers working in the areas of language processing, machine translation, word sense disambiguation, culture studies, language corpus generation, language teaching, dictionary compilation, lexicographic queries, cross-lingual knowledge sharing, e-governance, and many other areas of linguistics and language technology.
Spis treści
Chapter 1. Indo Word Net Pushpak Bhattacharyya.- Chapter 2. Insights on Hindi Word Net Coming from the Indo Word Net Laxmi Kashyap, Salil Rajeev Joshi and Pushpak Bhattacharyya.- Chapter 3. Defining Language Specific Synset (LSS) in Indo Wor Net: Some Theoretical and Practical Issues Niladri Sekhar Dash.- Chapter 4. Problems in Translating Hindi Synsets into the Bangla Word Net Niladri Sekhar Dash.- Chapter 5. Development of Punjabi Word Net, Bilingual Dictionaries, Lexical Relations Creation and its Challenges R.K. Sharma and Parteek Kumar.- Chapter 6. Insights on the Konkani Word Net Development Process Shilpa N. Desai, Shantaram W. Walawalikar, Ramdas N. Karmali, and Jyoti D. Pawar.- Chapter 7. Malayalam Word Net S. Rajendran and K. P. Soman.- Chapter 8. Creating Marathi Word Net Lata Popale and Pushpak Bhattacharyya.- Chapter 9. Gujarati Word Net: A Profile of the Indo Word Net Brijesh S. Bhatt, C. K. Bhensdadia, Pushpak Bhattacharyya, Dinesh Chauhan and Kirit Patel.- Chapter 10. Issues in the Creation of Synsets in Odia Word Net: A Report Panchanan Mohanty, Ramesh C. Malik and Bhimasena Bhol.- Chapter 11. Building Telugu Word Net using Expansion Approach S. Arulmozi and M.C. Kesava Murty.- Chapter 12. Challenges, Problems and Issues Faced in Language Specific Synset Creation and Linkage in the Kashmiri Word Net Aadil Amin Kak, Farooq Ahmad, Nazima Mehdi, Mansoor Farooq, and Muneera Hakim.- Chapter 13. Language Specific Synsets and Challenges in Synset Linkage in Urdu Word Net Rizwanur Rahman, Mazhar Mehdi Hussain and Niladri Sekhar Dash.- Chapter 14. Sanskrit Wordnet at IITB Malhar Kulkarni.- Chapter 15. Word Sense Disambiguation Using Indo Word NetSudha Bhingardive and Pushpak Bhattacharyya.- Appendix I: The Team of the Indo Word Net.
O autorze
Niladri Sekhar Dash, Ph.D., is Associate Professor, Linguistic Research Unit, Indian Statistical Institute, Kolkata. He is also Editor-in-Chief, Journal of Advanced Linguistic Studies, principal investigator of the Indian Languages Corpora Initiative-Bengali and the Digital Bangla Pronunciation Dictionary. His main areas of research are: corpus linguistics, natural language processing, computational, lexicography, machine translation, Word Net design and development, lexical semantics, computer assisted language teaching, digital language resource development, language documentation and digitization, etc.
Pushpak Bhattacharyya, Ph.D., is Director, Indian Institute of Technology Patna. Previously, he was Vijay and Sita Vashee Chair Professor, Department of Computer Science and Engineering, Indian Institute of Technology Bombay, Mumbai; consortium leader of the Indradhanush Word Net in Indian languages; Associate Editor, ACMTransaction on Asian Language Information Processing; leader of multi-institute consortia projects on Indian language Word Nets, Indian language search engine, and machine translation. Professor Bhattacharyya has been a visiting professor at Stanford University (2004), University of Grenoble (2005, 2009 and 2011) and distinguished lecturer at the University of Houston (2012). His research areas are: natural language processing, machine learning, cross lingual IR, information extraction, Word Net design and development, etc.
Jyoti D. Pawar is Associate Professor, Department of Computer Science and Technology, Goa University, Goa. She is co-consortium leader of the Indradhanush Word Net in Indian languages. Her research areas are: natural language processing (NLP), data mining, data structures, etc.
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