Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models. - Joris Pelemans; Tom Vanallemeersch; Kris Demuynck; Lyan Verwimp; Hugo Van hamme; Patrick Wambacq (ICASSP, 2016)

Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence. - Sofoklis Kakouros; Joris Pelemans; Lyan Verwimp; Patrick Wambacq; Okko Räsänen (INTERSPEECH, 2016)

STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools. - Lyan Verwimp; Brecht Desplanques; Kris Demuynck; Joris Pelemans; Marieke Lycke; Patrick Wambacq (INTERSPEECH, 2016)

SCALE: A Scalable Language Engineering Toolkit. - Joris Pelemans; Lyan Verwimp; Kris Demuynck; Hugo Van hamme; Patrick Wambacq (LREC, 2016)

Character-Word LSTM Language Models. - Lyan Verwimp; Joris Pelemans; Hugo Van hamme; Patrick Wambacq (EACL (1), 2017)

Language Models of Spoken Dutch. - Lyan Verwimp; Joris Pelemans; Marieke Lycke; Hugo Van hamme; Patrick Wambacq (CoRR, 2017)

Smart Computer-Aided Translation Environment (SCATE): Highlights. - Vincent Vandeghinste; Tom Vanallemeersch; Bram Bulté; Liesbeth Augustinus; Frank Van Eynde; Joris Pelemans; Lyan Verwimp; Patrick Wambacq; Geert Heyman; Marie-Francine Moens; Iulianna Van der Lek-Ciudin; Frieda Steurs; et al. (EAMT, 2018)

A Comparison of Different Punctuation Prediction Approaches in a Translation Context. - Vincent Vandeghinste; Lyan Verwimp; Joris Pelemans; Patrick Wambacq (EAMT, 2018)

State Gradients for RNN Memory Analysis. - Lyan Verwimp; Hugo Van hamme; Vincent Renkens; Patrick Wambacq (INTERSPEECH, 2018)

TF-LM: TensorFlow-based Language Modeling Toolkit. - Lyan Verwimp; Hugo Van hamme; Patrick Wambacq (LREC, 2018)

Information-Weighted Neural Cache Language Models for ASR. - Lyan Verwimp; Joris Pelemans; Hugo Van hamme; Patrick Wambacq (SLT, 2018)

Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models? - Lyan Verwimp; Jerome R. Bellegarda (INTERSPEECH, 2019)

Improving the Translation Environment for Professional Translators. - Vincent Vandeghinste; Tom Vanallemeersch; Liesbeth Augustinus; Bram Bulté; Frank Van Eynde; Joris Pelemans; Lyan Verwimp; Patrick Wambacq; Geert Heyman; Marie-Francine Moens; Iulianna Van der Lek-Ciudin; Frieda Steurs; et al. (Informatics, 2019)

On the long-term learning ability of LSTM LMs. - Wim Boes; Robbe Van Rompaey; Lyan Verwimp; Joris Pelemans; Hugo Van hamme; Patrick Wambacq (ESANN, 2020)

State gradients for analyzing memory in LSTM language models. - Lyan Verwimp; Hugo Van hamme; Patrick Wambacq (Comput. Speech Lang., 2020)

Error-Driven Pruning of Language Models for Virtual Assistants. - Sashank Gondala; Lyan Verwimp; Ernest Pusateri; Manos Tsagkias; Christophe Van Gysel (ICASSP, 2021)

Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation. - Thien Nguyen; Nathalie Tran; Liuhui Deng; Thiago Fraga da Silva; Matthew Radzihovsky; Roger Hsiao; Henry Mason; Stefan Braun; Erik McDermott; Dogan Can; Pawel Swietojanski; Lyan Verwimp; et al. (CoRR, 2022)

Application-Agnostic Language Modeling for On-Device ASR. - Markus Nußbaum-Thom; Lyan Verwimp; Youssef Oualil (ACL (industry), 2023)

Towards A World-English Language Model for on-Device Virtual Assistants. - Rricha Jalota; Lyan Verwimp; Markus Nußbaum-Thom; Amr El-Desoky Mousa; Arturo Argueta; Youssef Oualil (ICASSP, 2024)

Phonetically-Augmented Discriminative Rescoring for Voice Search Error Correction. - Christophe Van Gysel; Maggie Wu; Lyan Verwimp; Caglar Tirkaz; Marco Bertola; Zhihong Lei; Youssef Oualil (CoRR, 2025)