In this class, students will learn about how digital texts are created, stored, and processed in order to support the exploration of text using naturallanguage processing (NLP) methods. Topics will include character encoding, file formatting, methods of text compression, fluent use of a modern texteditor, text hacking using unix utilities, and text analysis techniques, such as building word frequency distributions, n-gram models,andword embeddings, with Python. Interested students should have at least intermediate Python programming skills and an interest in text andhuman language.
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