Papers by Lukas Fischer
SwissADT: An Audio Description Translation System for Swiss Languages (2025.naacl-industry)
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| Challenge: | despite advances in multilingual machine translation, lack of well-crafted AD data impedes development of audio description translation systems. |
| Approach: | They propose an audio description translation system for three main Swiss languages and English . they combine human expertise with the power of Large Language Models to improve quality . |
| Outcome: | The proposed system is designed to enhance accessibility for multilingual populations in Switzerland. |
Nunc profana tractemus. Detecting Code-Switching in a Large Corpus of 16th Century Letters (2022.lrec-1)
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Martin Volk, Lukas Fischer, Patricia Scheurer, Bernard Silvan Schroffenegger, Raphael Schwitter, Phillip Ströbel, Benjamin Suter
| Challenge: | a corpus of 16th century letters from and to the Zurich reformer Heinrich Bullinger has been preserved . a recent study investigated code-switching in these 8600 letters . |
| Approach: | They investigate the automatic detection of code-switching in a 16th century letter exchange . they use a popular language identifier to bootstrap a word-based language classifier . |
| Outcome: | The proposed language classifier bootstraps with a popular identifier on a small training corpus of 150 sentences per language. |
DETECT: Determining Ease and Textual Clarity of German Text Simplifications (2026.eacl-long)
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| Challenge: | Current evaluation of German automatic text simplification relies on general-purpose metrics such as SARI, BLEU, and BERTScore. |
| Approach: | They propose a German-specific metric that holistically evaluates ATS quality across all three dimensions of simplicity, meaning preservation, and fluency. |
| Outcome: | The proposed metric achieves higher correlations with human judgments than widely used ATS metrics. |
Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies (2025.findings-naacl)
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| Challenge: | Audio descriptions (ADs) are acoustic commentaries designed to assist blind and visually impaired individuals in accessing digital media content. |
| Approach: | They examine how state-of-the-art NLP and CV technologies can be applied to generate ADs . they identify essential research directions for the future . |
| Outcome: | The proposed technologies can be applied to generate audio descriptions (ADs) the process is time-consuming and costly, and requires significant human effort . the authors identify key research directions for the future . |