Natural Language Processing Based on Deep Learning and Model Evaluation

Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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COMCONF05_402

تاریخ نمایه سازی: 21 اردیبهشت 1397

Abstract:

Deep learning is a branch of machine learning discussion and a set of algorithms that attempt to model high- level abstractions using learning at different levels and layers. In fact, deep learning is a new approach in neural networks existed for many years and shows itself in a new form every few years. In this study, we want to use deep learning in the field of natural language analysis. Specifically, we will predict the best word based on previous words, and we will introduce a deep recursive model for the analysis of natural language.

Authors

Ali Akbar Kekha Javan

Department of Electrical, Islamic Azad University, Zabol, Iran

Mohammad Reza Pourmir

Coumputer Engineering Department, Faculty of Engineering, Zabol University, Zabol, Iran