@inproceedings{dinu-etal-2014-using,
title = "Using a machine learning model to assess the complexity of stress systems",
author = "Dinu, Liviu and
Ciobanu, Alina Maria and
Chitoran, Ioana and
Niculae, Vlad",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1200_Paper.pdf",
pages = "331--336",
abstract = "We address the task of stress prediction as a sequence tagging problem. We present sequential models with averaged perceptron training for learning primary stress in Romanian words. We use character n-grams and syllable n-grams as features and we account for the consonant-vowel structure of the words. We show in this paper that Romanian stress is predictable, though not deterministic, by using data-driven machine learning techniques.",
}
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%0 Conference Proceedings
%T Using a machine learning model to assess the complexity of stress systems
%A Dinu, Liviu
%A Ciobanu, Alina Maria
%A Chitoran, Ioana
%A Niculae, Vlad
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F dinu-etal-2014-using
%X We address the task of stress prediction as a sequence tagging problem. We present sequential models with averaged perceptron training for learning primary stress in Romanian words. We use character n-grams and syllable n-grams as features and we account for the consonant-vowel structure of the words. We show in this paper that Romanian stress is predictable, though not deterministic, by using data-driven machine learning techniques.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1200_Paper.pdf
%P 331-336
Markdown (Informal)
[Using a machine learning model to assess the complexity of stress systems](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1200_Paper.pdf) (Dinu et al., LREC 2014)
ACL