- Computers and the Brain
- Both are based on electric toggles: either on or off
- Computers crunch numbers
- Brains talk
- Artificial Intelligence (AI) Hypothesis
- Weak Hypothesis: a computer can communicate with people in such a way that the people will not know that they are communicating with a machine.
- Strong Hypotheis: a computer can speak exactly like human beings speak
- Applications of Computational Linguistics
- Speech Synthesis
- Machine Translation
- Artificial Intelligence
- Voice identification
- Computational Linguistics
- Neural networks (Rumelhart & McClelland)
- Learn behaviors without being programmed differentially.
- If neural network can learn language without special programming, Innateness Hypothesis is undermined.
- If Innateness Hypothesis is valid, special program corresponding to UG will have to be coded into neural network for it to be able to learn language.
- Components of a Computational Speaker
- Phonetic interpreter (speech synthesis)
- Lexeme-Morpheme transducer
- Lexicon and Morphological Component
- Syntax transducer
- Semanic interpreter
- Cognitive processor
- Conclusion
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