Abstract
It is the character of mortals to raise inquiries to refresh our information on any obscure issues. Question answering systems (QAS) as they are popularly known is employed to bring out answers asked in linguistic communication. On the get-go, the system was designed to answer queries on a closed domain, then again open-domain question respondent evolved to require up and answer queries from any domain. Building a QAS turns into a great deal of crucial once confining one for our Indian territorial dialects. Thus, so as to comprehend the comprehensiveness, a survey would be helpful on English and within the regional languages for researchers and furthermore intrigued understudies. Areas which involve frequent question answering such as the email systems can have an open arm to function like a QAS, so by trying to automatically answer an incoming email by fetching the content from previously answered, similar kind of mail and generating the reply in the user’s style. This survey covers all the main works done pertaining to QAS till 2017.
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Rajaraman, P.V., Prakash, M. (2020). A Survey on Text Question Responsive Systems in English and Indian Languages. In: Reddy, V., Prasad, V., Wang, J., Reddy, K. (eds) Soft Computing and Signal Processing. ICSCSP 2019. Advances in Intelligent Systems and Computing, vol 1118. Springer, Singapore. https://doi.org/10.1007/978-981-15-2475-2_25
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