Research InterestsTranslation EnvironmentsMulti-modal InteractionMeasuring Cognitive LoadContext Aware User Interfaces
Open Thesis Topics
Current advances in machine translation increase the need for translators to switch from traditional translation to post-editing (PE) of machine-translated text, a process that saves time and improves quality. The goal of the DFG funded project “Multi-modal and Language Technology Based Post-Editing Support for Machine Translation” (http://mmpe.dfki.de) is to explore multi-modal interfaces to support this post-editing process. This thesis should investigate the feasibility and efficiency of using Eye Tracking for PE of machine translation.
- Experience in web development, in particular using Angular, as the translation environment will be built using these technologies.
- Ideally also some experience in using eye tracking technologies.
- Read this paper, which provides insights into PE.
- Read this paper and watch this video, as it provides lots of ideas how eye tracking can be effectively used for PE.
- Read this paper, as it provides another interesting idea how eye tracking can be used to mark positions in the source and target text.
How to apply:
Please send me an email with the following pieces of information (if you do not answer every point, your application will not be considered):
- A short motivational statement why this topic is interesting for you
- Your transcript of records
- A description of at least 3 CAT tools, i.e. a list of features they offer (e.g. one could be the features of Google Translate, bullet points are fine) (max. 1 A4 page)
B.Sc. / M.Sc. Thesis Topics
If you are interested in doing a Bachelor's or Master's thesis in my area of interest, feel free to contact me.
I am also open to topic suggestions related to these areas.
Ongoing Superviced Theses:
- Cognition-Aware Mobile E-Learning (Master)
- The Impact of the Amount of MT Proposals on Human Post-Editing (Master)
- Evaluating Different Visualizations of Machine Translation Output for Effective Post-Editing (Master)
- The Intelligent Fridge (Bachelor)
Finished Superviced Master's Theses:
- 2019 - Go&Get: An Intelligent Shopping List for Everyday Goods (Alexander Vielhauer)
- 2018 - Motivating Users with Bottom-Up Gamification in a Microtask Setting (Christian Wolff)
- 2017 - Offline Product Recommendation Based on Customer Trajectories (Bhavesh Bhansali)
Finished Superviced Bachelor's Theses:
- 2018 - TAROC: A Tangible Augmented Reality System for Object Configuration (Tim Düwel, PDF)
- 2017 - Automatic User Identification in Retail (Jan Zacharias)
- 2017 - Autonomous Dependency Detection and Rules Recommendation for Smart Home Systems (Sven Ziegler)
I have reviewed for ...
PDF Access to Selected Publications
Post-Editing of Machine Translation:
- Multi-Modal Approaches for Post-Editing Machine Translation (CHI 2019)
- Integrating Artificial and Human Intelligence for Efficient Translation (arXiv 2019)
- Multi-Modal Indicators for Estimating Perceived Cognitive Load in Post-Editing of Machine Translation (MT Journal 2019)
- A Transformer-Based Multi-Source Automatic Post-Editing System (WMT 2018)
- Design Guidelines for Assistance Systems Supporting Sustainable Purchase Decisions (DIS 2018)
- A Grand Challenge for HCI: Food + Sustainability (interactions 2017)
- Designing Sustainable Food Systems for the Point of Sale (CHI 2017 Workshop)
- FrAPP - Framework for Automated Product Placement (Bachelor's Thesis 2014)
- Enhancing Process Data in Manual Assmbly Workflows (BPM 2018 Workshop)
- APPsist Statusbericht: Realisierung einer Plattform für Assistenz- und Wissensdienste für die Industrie 4.0 (DelFI Workshops 2016)
- DEPlata - A Digitally Enhanced Planning Table for Rough Factory Layouts (Master's Thesis 2015)
- Exploring Rock Climbing in Mixed Reality Environments (CHI 2017 Extended Abstracts)
- OmniSports - Encouraging Physical Activities in Everyday Life (CHI 2014 Extended Abstracts)
- Crows-generated Outdoor Fitness Exercises (CHI 2014 Workshop)
- How Machine Perception Relates to Human Perception: Visual Saliency and Distance in a Frame-by-Frame Semantic Segmentation Task for Highly/Fully Automated Driving (SEFAIAS 2018)
- Inferring Landmarks for Pedestrian Navigation from Mobile Eye-Tracking Data and Google Street View (CHI 2017 Extended Abstract)