foreword
Natural Language Processing (NLP) is an interdisciplinary subject involving computer science, artificial intelligence, linguistics and other fields, aiming at enabling computers to understand and process human language. This field mainly studies how to convert human language into a format that computers can process, including speech recognition, text classification, machine translation, sentiment analysis, question answering systems, etc. With the continuous development of artificial intelligence technology, natural language processing technology is also improving, from the initial simple processing to today's complex task processing, many important results have been achieved.
1. Early development (1950s-1980s)
1. The development of speech recognition technology
In the 1950s, speech recognition technology began to be researched and developed. At that time, due to the limitation of computer processing power, speech recognition technology mainly relied on speech signal processing and pattern recognition technology. Early speech recognition systems were mainly used in military and speech recognition fields, such as noise removal in speech signal processing, speech enhancement, speech classification, etc.
2. The development of machine translation technology
Machine translation technology is an important branch of the field of natural language processing. In the 1960s, machine translation technology began to be researched and developed. At that time, due to the limitation of computer processing power, machine translation technology mainly relied on linguistic theories and machine algorithms. Early machine translation systems were mainly used in diplomacy, foreign trade and other fields, such as text translation, grammar analysis, vocabulary matching, etc.
2. Modern development (1990s-21st century)
1. Development of Deep Learning Technology
In the 21st century, with the continuous development of computer hardware and software technology, deep learning technology has begun to be widely used. Deep learning is an artificial intelligence technology that realizes the processing and understanding of natural language by simulating the structure and principle of the human brain neural network. Deep learning technology has achieved remarkable results in speech recognition, machine translation, text classification, sentiment analysis and other fields, such as speech recognition system based on deep learning, machine translation system based on deep learning, etc.