Deep Learning Techniques for Natural Language Processing
Mariam Essam El Hennawy;
Abstract
Abstract
Natural Language Processing (NLP) is concerned with the interaction between machine and human. It is an area that aims at learning how to process a huge amount of data to understand, interpret and manipulate human language (natural language). This field is an intersection between artificial language, linguistics and computer science. NLP is a challenging problem that aims to understand the meaning of the natural language to perform some difficult tasks such as sentiment analysis, text summarization, question answering, machine translation, speech recognition, textual entailment, dialogue agents, text-to-speech, speech segmentation and many other challenging problems.
Natural Language Processing (NLP) is concerned with the interaction between machine and human. It is an area that aims at learning how to process a huge amount of data to understand, interpret and manipulate human language (natural language). This field is an intersection between artificial language, linguistics and computer science. NLP is a challenging problem that aims to understand the meaning of the natural language to perform some difficult tasks such as sentiment analysis, text summarization, question answering, machine translation, speech recognition, textual entailment, dialogue agents, text-to-speech, speech segmentation and many other challenging problems.
Other data
| Title | Deep Learning Techniques for Natural Language Processing | Other Titles | تقنيات التعلم المتعمق لمعالجة اللغات الطبيعية | Authors | Mariam Essam El Hennawy | Issue Date | 2019 |
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