Academic Journals Database
Disseminating quality controlled scientific knowledge

DATA DRIVEN SUFFIX LIST AND CONCATENATION ALGORITHM FOR TELUGU MORPHOLOGICAL GENERATOR

ADD TO MY LIST
 
Author(s): SRIBADRI NARAYANAN.R | SARAVANAN.S | SOMAN K.P

Journal: International Journal of Engineering Science and Technology
ISSN 0975-5462

Volume: 3;
Issue: 8;
Start page: 6712;
Date: 2011;
VIEW PDF   PDF DOWNLOAD PDF   Download PDF Original page

Keywords: Natural language processing | Machine translation | Telugu morphological generator.

ABSTRACT
For Telugu, a highly inflectional, agglutinative and suffix oriented, developing a morphological generator is a challenging task. The demand for Telugu morphological generator has increased as machine translation systems are being developed for other languages to Telugu. Morphological generator is a computer program that generates the word forms by considering the lemma, part-of-speech tag information and morphological feature description as input. In this paper, we report our work on implementing a morphological generator for Telugu, which doesn’t require any orthographic and morphotactics rules, using an automated extraction of the suffix list and efficient algorithm for concatenating the lemma and the morphological features. The preliminary results obtained from this system are significant.
Why do you need a reservation system?      Affiliate Program