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APG5139 · Using language data and technology

Official Handbook

2026 Handbook6 credit pointsLevel 5Linguistics

Last checked: 23 Aug 2026 UTC

Overview

In this unit, students will explore the growing need for large-scale language data in identifying patterns and trends in language use across multimedia, multimodal, and multilingual contexts. Students will develop skills to understand and critically evaluate various types of language data and recent technologies, such as digital tools, machine translation, and generative AI. Students will also develop transferable skills for utilising and analysing language data, emphasizing methods in corpus linguistics, incorporating both quantitative and qualitative viewpoints and approaches, and contextualising findings in academic and professional contexts. Additionally, students will consider the importance of ethical considerations when employing such data and technologies.

Areas of study: Applied linguistics

Offerings

CampusTeaching periodMode
ClaytonSecond semesterTeaching activities are on-campus (ON-CAMPUS)
ClaytonSecond semesterTeaching is all online (ONLINE)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1ExercisesExercise35%
2Language data analysisExercise40%
3Language data, technologies, and ethicsProject25%

Within semester assessment: 100%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

  1. Critically evaluate various types of language data and related technologies employed across academic and professional domains;
  2. Utilise transferable skills for accessing and analysing language data and technologies, including data interpretation literacy;
  3. Employ a critical perspective on data analysis and representation to effectively contextualise and interpret findings in research and professional settings;
  4. Apply the ethical use of language data and technologies to ethically harness language data in academic research and practical contexts.

Workload

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. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.

ActivityDuration
Tutorials24 hours
Lectures12 hours

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