Open AccessLanguage To Language Translation System
Author(s) -
Pratheeksha,
Pratheeksha Rai,
Vijetha
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit206363
Subject(s) - computer science , universal networking language , machine translation , computer assisted translation , natural language processing , machine translation software usability , speech translation , example based machine translation , artificial intelligence , language technology , language identification , phrase , spoken language , cache language model , linguistics , comprehension approach , natural language , philosophy
The system used in Language to Language Translation is the phrases spoken in one language are immediately spoken in other language by the device. Language to Language Translation is a three steps software process which includes Automatic Speech Recognition, Machine Translation and Voice Synthesis. Language to Language system includes the major speech translation projects using different approaches for Speech Recognition, Translation and Text to Speech synthesis highlighting the major pros and cons for the approach being used. Language translation is a process that takes the conversational phrase in one language as an input and translated speech phrases in another language as the output. The three components of language-to-language translation are connected in a sequential order. Automatic Speech Recognition (ASR) is responsible for converting the spoken phrases of source language to the text in the same language followed by machine translation which translates the source language to next target language text and finally the speech synthesizer is responsible for text to speech conversion of target language.