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The paper aims to study, analyse and compare the results of sentence completion task based on SAT style questions. In this paper, we plan to apply and compare various approaches for automated sentence completion which include Latent Semantic Indexing and Recurrent Neural Networks. Results from the past research stated that the LSA model outperforms the conventional n-gram model models on the Microsoft Research Sentence Completion Challenge. Hence, we will analyse and compare the results of thedoi:10.22214/ijraset.2019.4474 fatcat:hslskodrf5dppagxj44kk6ynma