Heathkit digital techniques course8/23/2023 ![]() ![]() Demonstrations throughout the course will draw primarily on English-language examples, but because of the philological range and diversity at ISAW, students are encouraged to work with digitized text collections in the languages most relevant to their research. Special attention will be given to the use of word embeddings and transformer models and their applicability to historical-language text collections. Drawing on relevant topics in exploratory data science, corpus linguistics, and natural language processing, the course provides a forum for students to develop hands-on skills in computer programming (using Python), focused primarily on managing textual data, string manipulation, text mining and analysis, language modeling, and data visualization. ![]() This course introduces students to computational research methods helpful for producing data-driven scholarship involving large collections of historical-language text. Text Analysis for Historical Language Research ![]()
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