TR7089 - Website and Software Localisation (2025/26)
| Module specification | Module approved to run in 2025/26 | |||||||||||||||
| Module title | Website and Software Localisation | |||||||||||||||
| Module level | Masters (07) | |||||||||||||||
| Credit rating for module | 20 | |||||||||||||||
| School | Guildhall School of Business and Law | |||||||||||||||
| Total study hours | 200 | |||||||||||||||
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| Assessment components |
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| Running in 2025/26(Please note that module timeslots are subject to change) |
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Module summary
This module aims to provide an advanced understanding of the unique challenges in localisation and to equip you with the practical skills necessary for a professional localisation environment, with a strong focus on current industry practices. You will explore the cultural, linguistic, and technical intricacies that differentiate products across markets, ensuring their success by adapting them to local requirements and user expectations. Additionally, you will gain insight into the modern localisation industry, including the integration of artificial intelligence (AI), automation, and cloud-based collaboration tools.
The module will provide advanced practical training in using Translation Environment Tools (TEnTs), AI-driven technologies, and other software solutions used by localisation professionals. You will also benefit from language-specific sessions with a practitioner who will guide you through group feedback sessions and individually supervised sessions, helping you prepare for the localisation project that will form part of your final assessment.
This is an elective module offered to full-time PG Cert/Dip students and year 2 part-time students. This is an elective module, offered to distance learning students.
Prior learning requirements
NA
Syllabus
The syllabus will focus on both theoretical knowledge and practical skills development related to localisation. You will study the structure and processes of the modern localisation industry, with an emphasis on how AI and machine learning (ML) are transforming workflows.
The module will cover the following aspects:
1. Key notions of localisation technologies, resources and practices [LO1]
2. Introduction to software and website localisation: concepts, tools and quality assurance [LO2-LO4]
3. Automation in localisation [LO2/LO4]
4. Localisation process management [LO4]
Balance of independent study and scheduled teaching activity
You will be encouraged to actively engage with the module by participating in both in-class and online discussions on selected localisation-related topics but also in self-study activities. Activities range from collaborative work to individual work; they will provide you with a variety of materials sourced from accessible channels online which will allow you to advance your knowledge, reflect on your progress and improve your performance as you go along. These activities also attract regular formative feedback.
Learning outcomes
Upon successful completion of this module, you will be able to:
1. Identify and evaluate a wide range of resources, file formats, and localised content, including AI-generated or AI-assisted materials, assessing their appropriateness for specific target audiences.
2. Understand the specific considerations for working with AI-powered tools and automation when localising various types of source material, including software, mobile applications, and websites.
3. Develop advanced practical skills in using localisation tools, including TEnTs, cloud-based platforms, and machine translation post-editing (MTPE), and know how to apply these skills to real-world localisation projects.
4. Demonstrate expertise in managing the localisation process from start to finish, including project documentation, evaluation, and quality assurance (QA), while incorporating workflow automation and agile localisation methods.