Analysis of LSTM Performance in Modeling Languages


Authors : Muhammad luthfi A.H; Iwa Ovyawan Herlistiano

Volume/Issue : Volume 5 - 2020, Issue 11 - November

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3nDXKxI

Abstract : In language modeling, we can analyze a word or sentence, one of which is using Long Short Time Memory (LSTM). LSTM can be used in annotated language modeling. By using a matrix created by LSTM, the dataset is divided into matrices. Natural Language Processing is used for natural language processing.

Keywords : LSTM, Language Modeling, NLP

In language modeling, we can analyze a word or sentence, one of which is using Long Short Time Memory (LSTM). LSTM can be used in annotated language modeling. By using a matrix created by LSTM, the dataset is divided into matrices. Natural Language Processing is used for natural language processing.

Keywords : LSTM, Language Modeling, NLP

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