Open AccessIdentification of Online Statistical Translation and Text Issues in Communication Technologies
Publication year - 2021
Publication title -
international journal of advanced trends in computer science and engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3091
DOI - 10.30534/ijatcse/2021/021022021
Subject(s) - computer science , sentence , machine translation , identification (biology) , process (computing) , natural language processing , globe , artificial intelligence , mobile phone , translation (biology) , phone , linguistics , psychology , telecommunications , biochemistry , chemistry , botany , philosophy , neuroscience , messenger rna , gene , biology , operating system
Now-a-days Artificial Intelligence growing fast towards new communication technologies and it provide easiness to the users as per there demand. Mobile/cell phone is one of the most reliable examples of latest technologies. It is easy to communicate with peoples of different countries and also in different languages. For the communications different technologies were used to solve this major issue around the globe. Translation is one of them to translate the one language to another language. The research methodology is based on the five phases. In this research study, analysis of the text by process on online translator, bilingual corpus (English and Sindhi) were used. After the translation from English to Sindh and Translation from Sindhi to English many issues were faced at the various communication technologies. When input data of large sentence to the translator it takes more time for the translation, but mostly this issue came in translation of text from English to Sindhi. Moreover, the results are based on translated text of English Languages and total three hundred fifty two words (352) were used.