Delete search term

Header

Main navigation

School of Applied Linguistics

Digital Linguistics: Writing Process Research

In the professorship of Digital Linguistics: Writing Process Research, we conduct research on the production of written language with and without the support of artificial intelligence. We investigate how students and language professionals write and revise texts. This enables us to discover which strategies they use and what support they require. To analyse text production data, we develop digital methods and tools. Through the use of AI-based methods, among others, this enables us to find out which linguistic patterns, linguistic structures and semantic features characterise this data. With this knowledge, we develop theories and models of the writing process that aid us in designing new tools aimed at providing even better to support to writers in the professional world and society at large. Our findings are made freely available (open access) to the research community and professionals. We represent the ZHAW at the CLARIN-CH Consortium.

We offer: 

In focus

Digital literacy in university contexts

In this joint project between swissuniversities, the Zurich University of Applied Sciences (ZHAW), the Zurich University of Teacher Education (PHZH), the Bern University of Applied Sciences (BFH) and the University of Neuchâtel, we are investigating how digital technologies can support the writing process. Artificial intelligence (AI) can help as part of intelligent tutoring or during automated writing assessment processes. We are working to integrate such AI-based technologies into university teaching and advisory services, doing so in a systematic and appropriate manner that allows both students and lecturers to benefit. In performing this work, we make use of and further develop computational linguistics methods.

The Modern Art of Writing: Human-driven versus AI-driven Text Production Processes

This project investigates new writing strategies and best practices for efficient and effective text production. With generative artificial intelligence, the role of writers is changing, and new writing processes require new skills. Adapting to these new conditions, however, is a challenge for professionals, academics and students. Although it is tempting to use text generators to boost the efficiency of the text production process, understanding the changes in the writing process under these new conditions and the impact of new technology is crucial for developing best practices.

THEtool: In-depth Analysis of Writing Processes

THEtool (text history extraction tool) is a freely accessible software application for analysing writing processes. It processes all keystrokes of a writing session and thus offers insights into text development by extracting text versions and providing a visual overview of the text creation process. THEtool is the first application to systematically reconstruct intermediate versions of all created sentences. This makes it possible to track the development of each sentence in the text, from the initial draft to its final version or complete deletion. THEtool allows researchers to automatically analyse large volumes of writing data from a linguistic perspective.

Research-based teaching

We offer various courses in all degree programmes at the School of Applied Linguistics. In modules in the Bachelor’s degree programmes and Master’s degree programme, students learn about theoretical principles, case studies and practical experiences from our projects.

We supervise Bachelor’s and Master’s theses with a focus on the topics of text production and corpus-based discourse analysis as well as generative artificial intelligence. We also offer internships for students from various disciplines.

We run the CAS in Copywriting: Writing Effectively and Using Generative AI Efficiently (in German). We are also involved in the  Generative AI in Teaching and Continuing Education (in German) course, also offered as part of our continuing education programme.

Team