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Semester | spring semester 2019 |
Course frequency | Irregular |
Lecturers | Steven Elijah Duman (steve.duman@unibas.ch, Assessor) |
Content | There is an incredibly large and continually-growing amount of language data available online. As a consequence, it is increasingly important for linguists, social scientists, and researchers in the Humanities to have a command of tools with which they can gather, organize, and analyze the data. One powerful - and free - tool is the software environment R. This class serves as a hands-on, introductory class to analyzing language data with R, as employed through the RStudio interface. In particular, we will use two packages to help gather and analyze data: Tidyverse and Quanteda. Because these packages allow you to do a great deal without 'coding from scratch', no prior programming experience is required. The class will also address the multiple problems and complexities that arise in using online language data. We will examine everything from the analysis of mult-word constructions (i.e., idioms) to the incorporation of nonlinguistic variables in your analyses. |
Learning objectives | In this class, you will learn how to use R to: (1) Acquire language data from online sources, including ‘scraping’ (2) Organize the data (3) Create data summaries (4) Make data visualizations (5) Run basic statistical tests (6) Write up the results |
Bibliography | All texts will be made available on ADAM. |
Weblink | ADAM |
Admission requirements | For MA students |
Course application | In order to ensure a good learning environment, we aim at no more than 20 students per class (2 sections). We ask you to register via the following doodle link and recommend that you create a doodle account https://doodle.com/poll/d8wrttm2dfhyvgmm. You may only register TWICE: once for a class section and once for a waiting list. Multiple voting (more than twice) will be removed and you will be assigned a place in a class with free seats after registration has closed. Should you not have made it into one of the courses and you are only able to register for the waiting lists, we guarantee that we will take you in the course with the least student numbers. The doodle will close on February 11 in order to finalise student distribution in the week before term start. |
Language of instruction | English |
Use of digital media | Online, mandatory |
Interval | Weekday | Time | Room |
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No dates available. Please contact the lecturer.
Modules |
Modul: English Linguistics (Master's degree subject: English) Modul: Forschungspraxis und Vertiefung (Master's degree program: Language and Communication) Modul: Research in English Linguistics (Master's degree subject: English) Modul: Sprache als Prozess (Master's degree program: Language and Communication) |
Assessment format | continuous assessment |
Assessment details | Student evaluations will be based on the original research project that they develop using the tools and skills provided. |
Assessment registration/deregistration | Reg.: course registration; dereg.: not required |
Repeat examination | no repeat examination |
Scale | Pass / Fail |
Repeated registration | as often as necessary |
Responsible faculty | Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch |
Offered by | Fachbereich Englische Sprach- und Literaturwissenschaft |