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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 8 of 8 1 Strategic networks Pravena D; Amrita Vishwa Vidyapeetham; Dhivya S... In: http://research.ijcaonline.org/volume47/number13/pxc3880314.pdf (2000) BASE Show details 2 CEN@Amrita FIRE 2016: Context based Character Embeddings for Entity Extraction in Code-Mixed Text Srinidhi Skanda; Veena P V; Shivkaran Singh... In: http://ceur-ws.org/Vol-1737/T7-8.pdf BASE Show details 3 Research Centre Antony P J; Amrita Vishwa Vidyapeetham In: http://research.ijcaonline.org/volume34/number8/pxc3875993.pdf BASE Show details 4 A Novel Data Driven Algorithm for Tamil Morphological Generator Kumar M; Dhanalakshmi V V; Rekha R U... In: http://www.ijcaonline.org/volume6/number12/pxc3871470.pdf BASE Show details 5 Language Identification for Multilingual Speech Recognition Systems C. S. Kumar; Li Haizhou; Amrita Vishwa Vidyapeetham Ettimadai Coimbatore In: http://www.deria.ru/docs/other/specom_2004/63.pdf BASE Show details 6 A SVM based approach to Telugu Parts Of Speech Tagging using SVMTool G. Sindhiya Binulal; P. An; K. P. Soman... In: http://ijrte.academypublisher.com/vol01/no02/ijrte0102183185.pdf BASE Show details 7 Rule based Sentence Simplification for English to Tamil Machine Translation System Poornima C; Dhanalakshmi V; Amrita Vishwa Vidyapeetham... In: http://www.ijcaonline.org/volume25/number8/pxc3874147.pdf BASE Show details 8 A Novel Approach for English to South Dravidian Language Statistical Machine Translation System Unnikrishnan P; Amrita Vishwa Vidyapeetham; Antony P J; Dr. Soman K P In: http://www.enggjournals.com/ijcse/doc/IJCSE10-02-08-113.pdf Abstract: Abstract—Development of a well fledged bilingual machine translation (MT) system for any two natural languages with limited electronic resources and tools is a challenging and demanding task. This paper presents the development of a statistical machine translation (SMT) system for English to South Dravidian languages like Malayalam and Kannada by incorporating syntactic and morphological information. SMT is a data oriented statistical framework for translating text from one natural language to another based on the knowledge extracted from bilingual corpus. Even though there are efforts towards building such an English to South Dravidian translation system,unfortunately we do not have an efficient translation system till now. The first and most important step in SMT is creating a well aligned parallel corpus for training the system. Experimental research shows that the existing methodology for URL: http://www.enggjournals.com/ijcse/doc/IJCSE10-02-08-113.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.301.1873 BASE Hide details

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