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Lyan Verwimp
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Year
Character-Word LSTM Language Models
L Verwimp, J Pelemans, H Van hamme, P Wambacq
European Chapter of the Association for Computational Linguistics (EACL …, 2017
532017
Definite il y a-clefts in spoken French
L Verwimp, K Lahousse
Journal of French Language Studies, 2016
182016
A comparison of different punctuation prediction approaches in a translation context
V Vandeghinste, L Verwimp, J Pelemans, P Wambacq
Proceedings of the 21st Annual Conference of the European Association for …, 2018
92018
State Gradients for Analyzing Memory in LSTM Language Models
L Verwimp, H Van hamme, P Wambacq
Computer Speech & Language, 101034, 2019
82019
Improving the translation environment for professional translators
V Vandeghinste, T Vanallemeersch, L Augustinus, B Bulté, F Van Eynde, ...
Informatics 6 (2), 24, 2019
82019
Analyzing the contribution of top-down lexical and bottom-up acoustic cues in the detection of sentence prominence
S Kakouros, J Pelemans, L Verwimp, P Wambacq, O Räsänen
Proceedings Interspeech 2016 8, 1074-1078, 2016
82016
TF-LM: TensorFlow-based Language Modeling Toolkit
L Verwimp, H Van hamme, P Wambacq
Proceedings Language Resources and Evaluation Conference (LREC), 2018
62018
Reverse Transfer Learning: Can Word Embeddings Trained for Different NLP Tasks Improve Neural Language Models?
L Verwimp, JR Bellegarda
Interspeech 2019, 2019
42019
Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models
J Pelemans, T Vanallemeersch, K Demuynck, L Verwimp, P Wambacq
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
42016
STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools
L Verwimp, B Desplanques, K Demuynck, J Pelemans, M Lycke, ...
Interspeech 2016, 780-781, 2016
42016
Error-driven pruning of language models for virtual assistants
S Gondala, L Verwimp, E Pusateri, M Tsagkias, C Van Gysel
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
32021
Information-Weighted Neural Cache Language Models for ASR
L Verwimp, J Pelemans, H Van hamme, P Wambacq
IEEE Workshop on Spoken Language Technology (SLT), 2018
32018
State Gradients for RNN Memory Analysis
L Verwimp, H Van hamme, V Renkens, P Wambacq
Interspeech 2018, 1467-1471, 2018
32018
Smart Computer-Aided Translation Environment (SCATE): Highlights (. pdf)
V Vandeghinste, T Vanallemeersch, B Bulté, L Augustinus, F Van Eynde, ...
32018
Domain adaptation for LSTM language models
W Boes, R Van Rompaey, J Pelemans, L Verwimp, P Wambacq
Book of abstracts CLIN27, 57, 2017
32017
Expanding n-gram training data for language models based on morpho-syntactic transformations
L Verwimp, J Pelemans, H Van hamme, P Wambacq
Computational Linguistics in the Netherlands Journal 5, 49-64, 2015
22015
145 ways to insert punctuation for speech translation
V Vandeghinste, L Verwimp, J Pelemans, P Wambacq
Book of abstracts CLIN28, 2018
12018
Pictograph-to-Text Translation for Augmented and Alternative Communication
L Sevens, V Vandeghinste, L Verwimp, I Schuurman, P Wambacq, ...
Book of abstracts CLIN28, 2018
12018
Language Models of Spoken Dutch
L Verwimp, J Pelemans, M Lycke, H Van hamme, P Wambacq
arXiv preprint arXiv:1709.03759, 2017
12017
SCATE–Smart Computer-Aided Translation Environment–Year 3 (/4)
V Vandeghinste, T Vanallemeersch, L Augustinus, F Van Eynde, ...
Proceedings EAMT 2017, 2017
12017
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