This paper emphasizes the importance of the question of word-order variation in connectionist language modeling. More precisely, it investigates whether recurrent networks can integrate various linguistic constraints to process variable word-order languages. This paper reports three experiments on the understanding of spoken French that suggest that recurrent architectures could apply to the understanding of variable spoken languages.
Cite as: Schadle, I., Antoine, J.-Y., Memmi, D. (1999) Connectionist language models for speech understanding: the problem of word order variation. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 2035-2038, doi: 10.21437/Eurospeech.1999-450
@inproceedings{schadle99_eurospeech,
author={Igor Schadle and Jean-Yves Antoine and Daniel Memmi},
title={{Connectionist language models for speech understanding: the problem of word order variation}},
year=1999,
booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
pages={2035--2038},
doi={10.21437/Eurospeech.1999-450}
}