Python 3 for Linguists

Damir Cavar – Eastern Michigan University
Malgorzata E. Cavar – Eastern Michigan University
Course time: Monday/Wednesday 9:00-10:50 am, MLB OR
Tuesday/Thursday 11:00 am – 12:50 pm, 2347 Mason Hall

See Course Description

This course introduces basic programming and scripting skills to linguists using the Python 3 programming language and common development environments. Our main goals are:

- to offer an entry point to programming and computation for humanities students, and whoever is interested

- to do so without requiring any previous computer or IT knowledge (except basic computer experience and common lay-person computer knowledge).

The course covers in eight sessions the interaction with the Python programming environment, an introduction to programming, and an introduction to linguistically relevant text and data processing algorithms, including quantitative and statistical analyses, as well as qualitative and symbolic methods.

Existing Python code libraries and components will be discussed, and practical usage examples given. The emphasis in this course is on being creative with a programming language, and teaching content that is geared towards specific tasks that linguists are confronted with, where computation of large amounts of data or time consuming annotation and data manipulation tasks are necessary. Among the tasks we consider essential are:

- reading text and language data from- and writing to files in various encodings, using different orthographic systems and standards, corpus encoding formats and technologies (e.g. XML),

- generating and processing of word lists, linguistic annotation models, N-gram models, frequency profiles to study quantitative and qualitative aspects of language, for example, variation in language, computational dialectology, similarity or dissimilarity at different linguistic levels,

- symbolic processing of regular grammar rules to be used in finite state automata for processing of phonotactic information or morphology, but also context free grammars and parsers for syntactic analyses, and higher level grammar formalisms, and the use of these grammars and language processing algorithms.

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