Joris Pelemans

发表

Extending n-gram language models based on syntactic equivalences

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2015 .

Automatic assessment of children's reading with the FLaVoR decoding using a phone confusion model

Joris Pelemans, Hugo Van hamme, Emre Yilmaz, 2014, INTERSPEECH.

Smart Computer Aided Translation Environment - SCATE

Joris Pelemans, Patrick Wambacq, Tom Vanallemeersch, 2015, EAMT.

Translation-based word clustering for language models

Joris Pelemans, Hugo Van hamme, Patrick Wambacq, 2015 .

Project STON: speeding up Dutch subtitling with speech and language technology

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2017 .

Dutch Automatic Speech Recognition on the Web: Towards a General Purpose System

Joris Pelemans, Patrick Wambacq, Kris Demuynck, 2012, INTERSPEECH.

SCATE – Smart Computer-Aided Translation Environment – Year 3 (/4)

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2017 .

Language Models of Spoken Dutch pdf

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2017, ArXiv.

STON: Efficient Subtitling in Dutch Using State-of-the-Art Tools

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2016, INTERSPEECH.

Pruning sparse non-negative matrix n-gram language models

Joris Pelemans, Noam Shazeer, Ciprian Chelba, 2015, INTERSPEECH.

Extending n-gram language models based on equivalent syntactic patterns

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2015 .

Improving the Translation Environment for Professional Translators

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2019, Informatics.

Efficient language model adaptation for automatic speech recognition of spoken translations

Joris Pelemans, Hugo Van hamme, Patrick Wambacq, 2015, INTERSPEECH.

Coping with language data sparsity: Semantic head mapping of compound words

Joris Pelemans, Hugo Van hamme, Patrick Wambacq, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Integrating meta-information into recurrent neural network language models

Yangyang Shi, Martha Larson, Catholijn M. Jonker, 2015, Speech Commun..

Character-Word LSTM Language Models

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2017, EACL.

The effect of word similarity on N-gram language models in Northern and Southern Dutch

Joris Pelemans, Patrick Wambacq, Kris Demuynck, 2014, CLIN 2014.

Sparse Non-negative Matrix Language Modeling (EMNLP presentation)

Joris Pelemans, Noam Shazeer, Ciprian Chelba, 2016 .

Language model adaptation for ASR of spoken translations using phrase-based translation models and named entity models

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Speech reception threshold measurement using automatic speech recognition

Joris Pelemans, Emre Yilmaz, Hugo Van hamme, 2013, ICASSP 2013.

Sparse Non-negative Matrix Language Modeling

Joris Pelemans, Noam Shazeer, Ciprian Chelba, 2016, Transactions of the Association for Computational Linguistics.

Information-Weighted Neural Cache Language Models for ASR

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2018, 2018 IEEE Spoken Language Technology Workshop (SLT).

Augmenting recurrent neural network language models with subword information

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2015 .

TTNWW to the rescue: no need to know how to handle tools and resources

Marc Kemps-Snijders, Joris Pelemans, Patrick Wambacq, 2017 .

Speech Recognition Web Services for Dutch

Joris Pelemans, Hugo Van hamme, Patrick Wambacq, 2014, LREC.

Expanding n-gram training data for language models based on morpho-syntactic transformations

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2015 .

Machine translation-based language model adaptation for automatic speech recognition of spoken translations

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2015 .

On the long-term learning ability of LSTM LMs

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2020, ESANN.

Smart Computer-Aided Translation Environment (SCATE): Highlights

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2018 .

Analyzing the Contribution of Top-Down Lexical and Bottom-Up Acoustic Cues in the Detection of Sentence Prominence

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2016, INTERSPEECH.

SCALE: A Scalable Language Engineering Toolkit

Lyan Verwimp, Joris Pelemans, Hugo Van hamme, 2016, LREC.

145 ways to insert punctuation for speech translation

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2018 .

N-G RAM PROBABILITY ESTIMATES BY COMPOUND-HEAD CLUSTERING

Joris Pelemans, Kris Demuynck, Hugo Van, 2015 .

A layered approach for dutch large vocabulary continuous speech recognition

Joris Pelemans, Patrick Wambacq, Kris Demuynck, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving n-gram probability estimates by compound-head clustering

Joris Pelemans, Hugo Van hamme, Patrick Wambacq, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Comparison of Different Punctuation Prediction Approaches in a Translation Context

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2018, EAMT.

Domain adaptation for LSTM language models

Lyan Verwimp, Joris Pelemans, Patrick Wambacq, 2017 .

SCATE: Smart Computer Aided Translation Environment

Joris Pelemans, Patrick Wambacq, Tom Vanallemeersch, 2014, EAMT.

Sparse non-negative matrix language modeling for skip-grams

Joris Pelemans, Noam Shazeer, Ciprian Chelba, 2015, INTERSPEECH.

Skip-gram Language Modeling Using Sparse Non-negative Matrix Probability Estimation pdf

Joris Pelemans, Noam Shazeer, Ciprian Chelba, 2014, ArXiv.

User-Initiated Repetition-Based Recovery in Multi-Utterance Dialogue Systems pdf

Joris Pelemans, Murat Akbacak, Hoang Long Nguyen, 2021, Interspeech 2021.