The internal structure of words is identified & examined by the morphological analysis method, often includes morphological & syntactical information for words entered. Kannada language is a morphologically inflectional, rich & agglutinative dialect. Developing a better morphological analysis method for Kannada language would be a difficult task. NLP is discussed in order to explore the language’s nouns & verbal words. The Morphological analysis technique for Kannada nouns & verbs is generated through machine learning methods. The analyser is built using regulatory dependent, suffix stripping based & paradigm-dependent methods. The Morphological analyser and generator serve as an important part in Natural Language Processing applications & they are mandatory equipment’s in Machine Translation. Morphological Analyser and Generator for Kannada language was developed using rule based similar to factual methodology by fusing morphological data & language characteristics. The primary challenge in advancement of generator is the grouping of words into different concepts based on their orthographic & inflections changes, structuring the morphological framework, corpus & rule creations.
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Dr. Anitha G. is an Associate Professor in the Department of Electronics and Communication Engineering at Saveetha School of Engineering, SIMATS, Chennai. She holds a Ph.D. from Vellore Institute of Technology. With over 10 years of experience, her research interests include antenna design, RF MEMS, image processing, and wireless networks.
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Taschenbuch. Zustand: Neu. Morphotactic Model Building for Kannada | Anitha G. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206738787 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 127342053
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