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Morphological analyser based on finite state transducer: a case study for Oriya language

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Konferencja
Human Language Technologies as a challenge for Computer Science and Linguistics (2; 21-23.04.2005; Poznań, Poland)
Języki publikacji
EN
Abstrakty
EN
This paper deals with the effective design and implementation of the morphological analyser of Oriya, which is a morphologically rich language derived from Sanskrit. The most of the morphemes in Oriya coordinate with the root words in the form of suffixes. Information such as Part of Speech (PoS), Case-relation, number, person, tense, aspect and mood are all conveyed through morphological attachments to the root of nominal or verbal words. This makes morphological analyser and generator of Oriya words a challenging task which is very essential tool in the area of Machine Translation, Parser, Spell Checker, OriNet (WordNet for Oriya), PoS tagging etc. This paper elucidates the simple and efficient computational model for Oriya morphology based on finite state transducers.
Rocznik
Strony
451--460
Opis fizyczny
Bibliogr. 10 poz., rys., tab.
Twórcy
autor
  • 2Department of Computer Science and Engineering, I.T.E.R. Bhubaneswar, Orissa, India
autor
  • IRC-ILTS-Oriya, Department of Computer Sc. and Application Utkal University, India
autor
  • IRC-ILTS-Oriya, Department of Computer Sc. and Application Utkal University, India
Bibliografia
  • [1] Y. S. Alam et.al.: Lexicons in an Object-Oriented Grammatical Model For Universal Grammar - Based Machine Translation (UGMT). In Proc: 1st GWN Conf., CIIL, Mysore, 2002.
  • [2] A. Bharati et.al.: Natural Language Processing. A Paninian Perspective. Prentice Hall of India Private Limited. New Delhi-110001, 1995.
  • [3] B. B. Chadhuri et.al.: To wards Indian Language Spell Checker Design. IEEE Proc. of LEC-2002. University of Hyderaba,. Hyderabad, India. 2002.
  • [4] M. Das et.al.: Design and Implementation of a Spell Checker for Assamese. IEEE Proc. Of LEC-2002. University of Hyderabad, Hyderabad, India, 2002.
  • [5] K. Koskenniemi: Two-Level Morphology; A general computational model for word-form recognition and production. Publication II, University of Helsinki, 1983.
  • [6] N. Mohapatra Pandit and S. Dash: Sarbasara Byakarana. New Students Store. Cuttack. Orissa, India, 2000.
  • [7] S. Mohanty and P. K. Santi: Object Oriented Design Approach to OriNet System: On-line Lexical Database for Oriya Language. IEEE Proc. ofLEC-2002. University of Hyderabad, Hyderabad, India.
  • [8] R. D'Souza et.al.: Natural Language Generation from Semantic Net like Structures with application to Hindi. STRANS- 2001, IIT Kanpur, Kanpur, India.
  • [9] Sarangi Nrusingha: BRUHAT ORIYA BYAKARANA. Satyanarayan Book Store. Binodbehari. Cuttack-2. Orissa, India, 2001.
  • [10] R. Sproat: Morphology and Computation. ACL MIT Press series in Natural Language Processing. 1992.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BSW3-0021-0017
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