UnitLevel 5Postgraduate

APG5108 Digital language: Corpora and big data

Faculty of Arts

APG5108 Digital language: Corpora and big data is a level 5, 6-credit-point, postgraduate unit from the Faculty of Arts. It isn't offered in 2021. It has no prerequisites.

Credit points
6
Offered in 2021
Not offered
Assessment
No exam
2 tasks
Workload
144 hours
per semester

The 2027 handbook has no page for APG5108. This is its 2021 entry, the latest one.

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Requisites

Before APG5108

No prerequisites or corequisites besides the enrolment rules below.

After APG5108

No unit lists APG5108 as a prerequisite in the 2021 handbook.

Enrolment rules

Prohibition: ATS2672 & ATS3672

Overview

It is commonplace to draw on large sets of data to show patterns and trends. Given the growing amount of web data, there is a pressing need for students to understand how the web can be used to interpret and generate such patterns and trends, particularly as they relate to language and communication. In this unit, students learn how the web can systematically be used to perform linguistic analysis. Focusing on digital language as involving multiple resources and modalities, the unit provides students with the knowledge and skills to compile, analyse and communicate the results of this analysis in written and spoken texts, and to employ a quantitative, qualitative or mixed approach to web data depending on their research question. Topics covered include: ethics, scraping and extracting big data, analysing web corpora, building corpora, linguistic methodologies, and using software.

As one of two new 6 credit point units on digital language, this unit can be taken as a standalone or together with digital language: users and technologies.

Offerings in 2021

The 2021 handbook lists no offerings for APG5108.

Assessment

  • Collaborative corpus building
    50%
  • Corpus analysis
    50%

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

     explain key terms and concepts used to engage with big data involving digital language and contribute to informed debates on digital language;

  2. 2

    evaluate the relative advantages and challenges of using the web as corpus and the web for corpus;

  3. 3

    compile and annotate small corpora using software;

  4. 4

    perform linguistic analysis of existing web corpora to understand patterns of digital language use;

  5. 5

     align methodologies for linguistic analysis (quantitative, qualitative, or mixed) to research questions.

Workload and teaching

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. A unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

Common questions

What are the prerequisites for APG5108?

APG5108 has no prerequisites, but enrolment rules apply.

When is APG5108 offered?

APG5108 has no offerings listed in the 2021 handbook.

How much work is APG5108?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does APG5108 have an exam?

No. APG5108 has 2 assessment tasks and no exam.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Arts
Organisational unit
Linguistics
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 1
Study abroad
Available
Handbook years
2021