The CMU-UKA statistical machine translation systems for IWSLT 2007. - Ian R. Lane; Andreas Zollmann; ThuyLinh Nguyen; Nguyen Bach; Ashish Venugopal; Stephan Vogel; Kay Rottmann; Ying Zhang 048; Alex Waibel (IWSLT, 2007)

Word reordering in statistical machine translation with a POS-based distortion model. - Kay Rottmann; Stephan Vogel (TMI, 2007)

The ISL Phrase-Based MT System for the 2007 ACL Workshop on Statistical Machine Translation. - Matthias Paulik; Kay Rottmann; Jan Niehues; Silja Hildebrand; Stephan Vogel (WMT@ACL, 2007)

Recent Improvements in the CMU Large Scale Chinese-English SMT System. - Almut Silja Hildebrand; Kay Rottmann; Mohamed Noamany; Quin Gao; Sanjika Hewavitharana; Nguyen Bach; Stephan Vogel (ACL (2), 2008)

Tools for Collecting Speech Corpora via Mechanical-Turk. - Ian R. Lane; Matthias Eck 001; Kay Rottmann; Alex Waibel (Mturk@HLT-NAACL, 2010)

A real-world system for simultaneous translation of German lectures. - Eunah Cho; Christian Fügen; Teresa Herrmann; Kevin Kilgour; Mohammed Mediani; Christian Mohr; Jan Niehues; Kay Rottmann; Christian Saam; Sebastian Stüker; Alex Waibel (INTERSPEECH, 2013)

Online Incremental Machine Translation. - Kay Rottmann (2015)

Training data reduction for multilingual Spoken Language Understanding systems. - Anmol Bansal; Anjali Shenoy; Krishna Chaitanya Pappu; Kay Rottmann; Anurag Dwarakanath (ICON, 2021)

Semi-supervised Adversarial Text Generation based on Seq2Seq models. - Hieu Le; Dieu-Thu Le; Verena Weber; Chris Church; Kay Rottmann; Melanie Bradford; Peter Chin 001 (EMNLP (Industry Track), 2022)

Unsupervised training data re-weighting for natural language understanding with local distribution approximation. - Jose Garrido Ramas; Dieu-Thu Le; Bei Chen; Manoj Kumar; Kay Rottmann (EMNLP (Industry Track), 2022)

The Massively Multilingual Natural Language Understanding 2022 (MMNLU-22) Workshop and Competition. - Christopher Hench; Charith Peris; Jack FitzGerald; Kay Rottmann (CoRR, 2022)

Mitigating the Burden of Redundant Datasets via Batch-Wise Unique Samples and Frequency-Aware Losses. - Donato Crisostomi; Andrea Caciolai; Alessandro Pedrani; Kay Rottmann; Alessandro Manzotti; Enrico Palumbo; Davide Bernardi (ACL (industry), 2023)

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages. - Jack FitzGerald; Christopher Hench; Charith Peris; Scott Mackie; Kay Rottmann; Ana Sanchez; Aaron Nash; Liam Urbach; Vishesh Kakarala; Richa Singh; Swetha Ranganath; Laurie Crist; et al. (ACL (1), 2023)

A Survey on Knowledge Editing of Neural Networks. - Vittorio Mazzia; Alessandro Pedrani; Andrea Caciolai; Kay Rottmann; Davide Bernardi (IEEE Trans. Neural Networks Learn. Syst., 2025)