Open AccessSentence Wise Telugu to English Translation of Vemana Sathakam using LSTM
Author(s) -
P. Sujatha*,
D. Lalitha Bhaskari
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d4340.118419
Subject(s) - telugu , computer science , machine translation , natural language processing , artificial intelligence , example based machine translation , translation (biology) , evaluation of machine translation , sentence , grammar , machine translation software usability , speech recognition , linguistics , biochemistry , chemistry , philosophy , messenger rna , gene
Language translation is a power of humans where machines are lagging and need to acquire. Previous statistical machine translation is used for translation but is applicable for large and similar grammar structure dataset. In this paper neural machine translation with long short term memory (LSTM) is used for addressing the issue. This paper uses a bidirectional LSTM to translate Telugu literary poems of Yogi Vemana to English which exhibited satisfactory translation. The results are compared with existing and proposed methods. NMT with LSTM yields better in language translation.