N-gram models for Text Generation in Hindi Language
Tejashree Ghude, Roshni Chauhan, Krushna Dahake, Atharv Bhosale, Tushar H. Ghorpade · ITM Web of Conferences · 2022
Native language plays a vital role for communication. Hindi is preferred by most Indians and it is the fifth most spoken language in the world. Hence, to make User Experience more effective while interacting with Software Applications, we aim to build a Model using Natural Language Processing which takes a specific word as an input and predicts the subsequent words for completing the sentence.It will act as a tab- complete function in Hindi language. This will also pave a way as a use case for building chatbots, personal emails, applications which are content based like cooking recipes, blogs, etc. in Hindi Language.