Translation of code mixed language to monolingual languages using rule-based approach
by Shree Harsh Attri; T.V. Prasad; Gavirneni RamaKrishna
International Journal of Cloud Computing (IJCC), Vol. 10, No. 4, 2021

Abstract: The demand of bilingual code switching has significantly increased due to cross-lingual communication and information exchange at a global scale and specifically in India. The core component of MT system is identification and translation of morphological inflections and PoS word ordering with respect to language structure. Indian languages are morphologically richer than English language and have multiple inflections during translation into English language. This paper focuses on the analysis and translation of code mixed language, i.e., Hinglish into pure Hindi and pure English languages. The experiments based on the algorithms in the paper are able to translate code mixed sentences to pure Hindi with a maximum success rate of 91% and to pure English with a maximum success rate of 84%.

Online publication date: Mon, 29-Nov-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Cloud Computing (IJCC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com