Author:
Thapa Surendrabikram,Adhikari Surabhi,Mishra Sushruti
Reference25 articles.
1. Collobert R, Weston J, Bottou L, Karlen M, Kavukcuoglu K, Kuksa P (2011) Natural language processing (almost) from scratch. J Mach Learn Res 12:2493–2537
2. Anthes G (2010) Automated translation of Indian languages. Commun ACM 53:24–26
3. Thaokar C, Malik L (2013) Test model for summarizing hindi text using extraction method. In: 2013 IEEE conference on information and communication technologies. IEEE, pp 1138–1143
4. Gupta M, Garg NK Text summarization of Hindi documents using rule based approach. In: 2016 international conference on micro-electronics and telecommunication engineering (ICMETE). IEEE, pp 366–370
5. Kumar KV, Yadav D (2015) An improvised extractive approach to hindi text summarization. In: Information systems design and intelligent applications, pp 291–300
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