@inproceedings{johnson-etal-2014-modelling,
title = "Modelling function words improves unsupervised word segmentation",
author = "Johnson, Mark and
Christophe, Anne and
Dupoux, Emmanuel and
Demuth, Katherine",
editor = "Toutanova, Kristina and
Wu, Hua",
booktitle = "Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
month = jun,
year = "2014",
address = "Baltimore, Maryland",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/P14-1027",
doi = "10.3115/v1/P14-1027",
pages = "282--292",
}
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%0 Conference Proceedings
%T Modelling function words improves unsupervised word segmentation
%A Johnson, Mark
%A Christophe, Anne
%A Dupoux, Emmanuel
%A Demuth, Katherine
%Y Toutanova, Kristina
%Y Wu, Hua
%S Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
%D 2014
%8 June
%I Association for Computational Linguistics
%C Baltimore, Maryland
%F johnson-etal-2014-modelling
%R 10.3115/v1/P14-1027
%U https://aclanthology.org/P14-1027
%U https://doi.org/10.3115/v1/P14-1027
%P 282-292
Markdown (Informal)
[Modelling function words improves unsupervised word segmentation](https://aclanthology.org/P14-1027) (Johnson et al., ACL 2014)
ACL
- Mark Johnson, Anne Christophe, Emmanuel Dupoux, and Katherine Demuth. 2014. Modelling function words improves unsupervised word segmentation. In Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 282–292, Baltimore, Maryland. Association for Computational Linguistics.