Review on Language Translator Using Quantum Neural Network (QNN)
Shilpa More, Saru Dhir, Deepak Daiwadney · 2016
This paper presents machine translation based on machine learning, which learns the semantically correct corpus. The machine learning process based on Quantum Neural Network (QNN) is used to recognizing the corpus pattern in realistic way. It translates on the basis of knowledge gained during learning by entering pair of sentences from source to target language. By taking help of this training data it translates the given text. own text.The paper consist study of a machine translation system which converts source language to target language using quantum neural network. Rather than comparing words semantically QNN compares numerical tags which is faster and accurate. In this tagger tags the part of sentences discretely which helps to map bilingual sentences.