Language To Language Translation System Using LSTM
Journal: International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) (Vol.10, No. 4)Publication Date: 2021-08-10
Authors : Shivani N Varshini Naik K Anisha P Rodrigues Roshan Fernandes;
Page : 2774-2778
Keywords : Automatic text recognition; voice synthesis; machine translation.;
Abstract
Language to language translation is the system that converts one language to another language. The system utilized in Language to Language Translation is that the phrases spoken in one language square measure now spoken in a different language by the device. Language to Language Translation maybe a 3 steps code method that includes Automatic Text Recognition, MT. Language to the system includes the key speech translation comes mistreatment totally different approaches for Speech Recognition Translation and a method that takes the informal phrase in one language as associate degree input and translated speech phrases in another language because of the output. The 3 elements of language-to-language translation square measure connected in an exceedingly sequent order. Automatic text Recognition (ATR) is answerable for dynamically changing the text phrases of language to the text at intervals of constant language followed by MT that interprets the linguistic communication to ensure target language text and eventually the text synthesizer is answerable for text conversion of the target language.
Other Latest Articles
- Modularity Based Community Detection in Dynamic Social Networks
- Object Detection with Voice Sensor and Cartoonizing the Image
- Comparison of Single and Ensemble Intrusion Detection Techniques using Multiple Datasets
- Kinetics, Isotherm and Optimum Condition for the Adsorption of Methyl Red Dye Using Hydroxyapatite
- THE STUDY OF INNOVATION CAPABILITY, CROSS-CHANNEL CAPABILITY AND FIRM PERFORMANCEOF VIETNAMESE RETAIL ENTERPRISES
Last modified: 2021-08-10 17:51:05