Natural Language Processing Based on Deep Learning and Model Evaluation
Publish place: Fifth International Conference on Electrical and Computer Engineering with Emphasis on Indigenous Knowledge
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
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.
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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