Table of Contents
tutorials
linguistics tutorials: tutorials and how-tos for learning methods and techniques of corpus and computational linguistics, natural language processing and basically all kinds of linguistic approaches that help us gain a better understanding of how language works. The following collection of tutorials aims to help students work with state of the art tools in the field of natural language processing, corpus and computational linguistics. It is not only targeted at beginners, but also to advanced users who would like to work on their own with tools that are commonly used in corpus and computational linguistics. The tutorials are intended to facilitate self-study accompanying courses or independently of courses.
Alphabetical index of all tutorials
System set-up for corpus and computational linguistics
This section provides some general advice on setting up your computer system for research in corpus and computational linguistics and related disciplines. In this tutorial section I am sharing advice to students and researchers on how to set up a useful set of tools for work on their own local machines.
| type | tool | version | source |
|---|---|---|---|
| editor | Visual Studio Code | —– | —– |
| terminal | Windows terminal app | —– | —– |
| Power Shell | —– | —– | |
| programming language | Adopt Open Java JDK | —– | —– |
| Python 3 | —– | —– | |
| data analysis | AntConc | 3.5.x | —– |
| AntConc 4.x.x | —– | —– | |
| —– | —– | —– | —– |
data exploration and analysis
linguistic processing scenarios
The section processing scenarios gives some examples of how the tools presented in the tutorials can be used in actual research scenarios.
- Collocation analysis
- Collocation statistics
programming in linguistics (and the other humanities)
workshops
online learning and teaching
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