This undergraduate class looks at everyday tasks that involve natural
language processing: document classification, spelling and grammar
correction, dialogue systems, machine translation, cryptography and
forensic linguistics. Students will get insight into how these systems
work (and why it is still so difficult to do natural language processing
well). We also consider social and ethical considerations such as
privacy, job creation and loss due to language technologies, and the
nature of machine intelligence. Textbook: Markus Dickinson, Chris Brew, and Detmar Meurers: Language and Computers Wiley-Blackwell (2013) Additional required readings will be made available for download from the course website. |
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