首页|Researchers from NITTE (Deemed to be University) Discuss Findings in Machine Translation (Tulu Language Text Recognition and Translation)
Researchers from NITTE (Deemed to be University) Discuss Findings in Machine Translation (Tulu Language Text Recognition and Translation)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
IEEE
Fresh data on machine translation are presented in a new report. According to news originating from NITTE (Deemed to be University) by NewsRx editors, the research stated, “Language is a primary means of communication, but it is not the only means; knowing a language does, however, assist speed up the process. Many distinct languages are spoken worldwide, and people use them to communicate.” Financial supporters for this research include Nitte. The news reporters obtained a quote from the research from NITTE (Deemed to be University): “This is only one of the many reasons why language is so crucial. Based on the literature survey, it is evident that there is a lack of available translators for the Tulu language. Despite being prevalent predominantly in Karnataka, the Tulu language has not been as widely spoken as other Indian languages until recently, although it gained enough recognition to become the second language in Karnataka. The purpose of our research work aims at translating the English language into the Tulu language. During the evaluation the system was tested on a dataset consisting of handwritten characters during the evaluation process Convolutional Neural Networks used achieved an accuracy rate of 92%. To translate English to the Tulu language, we employed a parallel sentence dataset for the neural approach and a parallel word dataset for the rule-based approach. The rule-based approach resulted in an 89% accuracy rate for word-based analysis and an 81% accuracy rate for sentence-based analysis for the English-to-Tulu language translation.”
NITTE (Deemed to be University)Emerging TechnologiesMachine LearningMachine Translation
NETL
NSTL
IEEE
