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Journal Articles
- 2020
[j2]Lyan Verwimp, Hugo Van hamme
, Patrick Wambacq:
State gradients for analyzing memory in LSTM language models. Comput. Speech Lang. 61: 101034 (2020)- 2019
- [j1]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, Ayla Rigouts Terryn, Els Lefever, Arda Tezcan, Lieve Macken, Véronique Hoste, Joke Daems, Joost Buysschaert, Sven Coppers, Jan Van den Bergh, Kris Luyten:
Improving the Translation Environment for Professional Translators. Informatics 6(2): 24 (2019)
Conference and Workshop Papers
- 2024
- [c16]Rricha Jalota, Lyan Verwimp, Markus Nußbaum-Thom, Amr El-Desoky Mousa, Arturo Argueta, Youssef Oualil:
Towards A World-English Language Model for on-Device Virtual Assistants. ICASSP 2024: 10811-10815 - 2023
- [c15]Markus Nußbaum-Thom, Lyan Verwimp, Youssef Oualil:
Application-Agnostic Language Modeling for On-Device ASR. ACL (industry) 2023: 268-275 - 2021
- [c14]Sashank Gondala, Lyan Verwimp, Ernest Pusateri, Manos Tsagkias, Christophe Van Gysel:
Error-Driven Pruning of Language Models for Virtual Assistants. ICASSP 2021: 7413-7417 - 2020
- [c13]Wim Boes, Robbe Van Rompaey, Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq:
On the long-term learning ability of LSTM LMs. ESANN 2020: 625-630 - 2019
- [c12]Lyan Verwimp, Jerome R. Bellegarda:
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models? INTERSPEECH 2019: 3485-3489 - 2018
- [c11]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, Ayla Rigouts Terryn, Els Lefever, Arda Tezcan, Lieve Macken, Sven Coppers, Jens Brulmans, Jan Van den Bergh, Kris Luyten, Karin Coninx:
Smart Computer-Aided Translation Environment (SCATE): Highlights. EAMT 2018 - [c10]Vincent Vandeghinste, Lyan Verwimp, Joris Pelemans, Patrick Wambacq:
A Comparison of Different Punctuation Prediction Approaches in a Translation Context. EAMT 2018: 289-298 - [c9]Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq:
State Gradients for RNN Memory Analysis. BlackboxNLP@EMNLP 2018: 344-346 - [c8]Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq:
State Gradients for RNN Memory Analysis. INTERSPEECH 2018: 1467-1471 - [c7]Lyan Verwimp, Hugo Van hamme, Patrick Wambacq:
TF-LM: TensorFlow-based Language Modeling Toolkit. LREC 2018 - [c6]Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq:
Information-Weighted Neural Cache Language Models for ASR. SLT 2018: 756-762 - 2017
- [c5]Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq:
Character-Word LSTM Language Models. EACL (1) 2017: 417-427 - 2016
- [c4]Joris Pelemans, Tom Vanallemeersch, Kris Demuynck, Lyan Verwimp, Hugo Van hamme, Patrick Wambacq:
Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models. ICASSP 2016: 5985-5989 - [c3]Lyan Verwimp, Brecht Desplanques, Kris Demuynck, Joris Pelemans, Marieke Lycke, Patrick Wambacq:
STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools. INTERSPEECH 2016: 780-781 - [c2]Sofoklis Kakouros, Joris Pelemans, Lyan Verwimp, Patrick Wambacq, Okko Räsänen:
Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence. INTERSPEECH 2016: 1074-1078 - [c1]Joris Pelemans, Lyan Verwimp, Kris Demuynck, Hugo Van hamme, Patrick Wambacq:
SCALE: A Scalable Language Engineering Toolkit. LREC 2016
Informal and Other Publications
- 2024
- [i10]Rricha Jalota, Lyan Verwimp, Markus Nußbaum-Thom, Amr El-Desoky Mousa, Arturo Argueta, Youssef Oualil:
Towards a World-English Language Model for On-Device Virtual Assistants. CoRR abs/2403.18783 (2024) - 2023
- [i9]Markus Nußbaum-Thom, Lyan Verwimp, Youssef Oualil:
Application-Agnostic Language Modeling for On-Device ASR. CoRR abs/2305.09764 (2023) - 2022
- [i8]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, Sibel Oyman, Tresi Arvizo, Honza Silovsky, Arnab Ghoshal, Mathieu Martel, Bharat Ram Ambati, Mohamed Ali:
Optimizing Bilingual Neural Transducer with Synthetic Code-switching Text Generation. CoRR abs/2210.12214 (2022) - 2021
- [i7]Sashank Gondala, Lyan Verwimp, Ernest Pusateri, Manos Tsagkias, Christophe Van Gysel:
Error-driven Pruning of Language Models for Virtual Assistants. CoRR abs/2102.07219 (2021) - [i6]Wim Boes, Robbe Van Rompaey, Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq:
On the long-term learning ability of LSTM LMs. CoRR abs/2106.08927 (2021) - 2019
- [i5]Lyan Verwimp, Jerome R. Bellegarda:
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models? CoRR abs/1909.04130 (2019) - 2018
- [i4]Lyan Verwimp, Hugo Van hamme, Vincent Renkens, Patrick Wambacq:
State Gradients for RNN Memory Analysis. CoRR abs/1805.04264 (2018) - [i3]Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq:
Information-Weighted Neural Cache Language Models for ASR. CoRR abs/1809.08826 (2018) - 2017
- [i2]Lyan Verwimp, Joris Pelemans, Hugo Van hamme, Patrick Wambacq:
Character-Word LSTM Language Models. CoRR abs/1704.02813 (2017) - [i1]Lyan Verwimp, Joris Pelemans, Marieke Lycke, Hugo Van hamme, Patrick Wambacq:
Language Models of Spoken Dutch. CoRR abs/1709.03759 (2017)
Coauthor Index
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