1. Neural Network Computing and Natural Language Processing
- Author
-
Frank L. Borchardt
- Subjects
Linguistics and Language ,Language identification ,Natural language user interface ,Computer science ,business.industry ,Natural language programming ,computer.software_genre ,Language and Linguistics ,Computer Science Applications ,Education ,Language primitive ,Universal Networking Language ,Cache language model ,Language technology ,Artificial intelligence ,business ,computer ,Natural language processing ,Spoken language - Abstract
After twenty years of disfavor, a technology has returned which imitates the processes of the brain. Natural language experiments (Sejnowski & Rosenberg: 1986) demonstrate that neural network computing architecture can learn from actual spoken language, observe rules of pronunciation, and reproduce sounds from the patterns derived by its own processes. The consequences of neural network computing for natural language processing activities, including second language acquisition and representation, machine translation, and knowledge processing may be more convulsively revolutionary than anything imagined in current technology. This paper introduces neural network concepts to a traditional natural language processing audience.
- Published
- 2013
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