Abstract

Telugu is a free word order language in which various grammatical categories (case, gender, number, person etc.) are morphologically encoded making it a morphologically rich language. In this paper we present a morphological generator for Telugu nouns and pronouns modelled on finite state techniques. The morphological generator generates the required word form for nouns and pronouns from an input specification consisting of the lemma and its associated features. The current work is an independent module of a surface realization engine that automates the task of building grammatically correct Telugu sentences. The morphological generator also supports verb morphological generator in generating the appropriate verb form by passing the appropriate features (person, number and gender) required for the formation of the appropriate verb form.

References

• Uma Maheswara Rao G and Amba Kulkarni P. 2006. Computer Applications in Indian Languages, Hyderabad: The Centre for Distance Education, University of Hyderabad.
• Sasi Raja Sekhar Dokkara, Suresh Verma Penumathsa, and Somayajulu G. Sripada. 2015 A Simple Surface Realization Engine for Telugu
• BH. Krishnamurti and J P L Gwynn, “A Grammar of Modern Telugu” Oxford University Press, 1985.
• Albert Gatt and Ehud Reiter “SimpleNLG: A realization engine for practical applications”, Proceedings of ENLG 2009, pages 90-93, 2009.
• Sri BadriNarayanan.R, Saravanan.S, Soman K.P “Data Driven Suffix List and Concatenation Algorithm for Telugu Morphological Generator” International Journal of Engineering Science and Technology (IJEST), 2009.
• Reiter E. and Dale R. (2000), Building natural language generation systems, Cambridge University Press, New York.
• Ganapathiraju M; Lori Levin. (2006): “TelMore: Morphological Generator for Telugu Nouns and Verbs”, in Proceedings of Second International Conference on Universal Digital Library, Alexandria, Egypt, pp. 17-19.
• Hockett (1954): "Two models of grammatical description", in : Word, 10, pp. 210–234. [= Readings in Linguistics, vol. I, pp. 386–399].
• Gregory T. Stump 2001: “Inflectional Morphology: A Theory of Paradigm Structure” Cambridge University Press.
• Beesley, Kenneth R. and Lauri Karttunen. 2003. “Finite State Morphology”. Palo Alto, CA: CSLI Publications.
• Lauri Karttunen and Kenneth R. Beesley 2005 “Twenty-Five Years of Finite State Morphology ”. Inquiries into Words, Constraints and Contexts.
• Roark, Brain, and Richard Sproat. 2007. “Computational approaches to Morphology and Syntax” Oxford.
• Lauri Karttunen 2003 “Computing with Realizational Morphology”.
• Minnen, G., J. Carroll and D. Pearce (2000)  Robust, applied morphological generation. In Proceedings of the 1st International Natural Language Generation Conference, Mitzpe Ramon, Israel. 201-208.
• PJ Antony, KP Soman (2012): Computational morphology and natural language parsing for Indian languages: a literature survey. International Journal of Computer Science and Engineering Technology
• Vishal Goyal, Gurpreet Singh Lehal (2011): “Hindi to Punjabi Machine Translation System” Proceedings of the ACL-HLT 2011 System Demonstrations, pages 1–6, Portland, Oregon, USA, 21 June 2011
• Kristina Toutanova, Hisami Suzuki, Achim Ruopp (2008): Applying Morphology Generation Models to Machine Translation. Proceedings of ACL-08: HLT, pages 514–522, Columbus, Ohio, USA.
• Bharti A, Chaitanya V, Sangal R “Natural Language Processing A Paninian Perspective” Prentice-Hall of India, New Delhi, 1995.