@inproceedings{nasr-etal-2014-automatically,
title = "Automatically enriching spoken corpora with syntactic information for linguistic studies",
author = "Nasr, Alexis and
Bechet, Frederic and
Favre, Benoit and
Bazillon, Thierry and
Deulofeu, Jose and
Valli, Andre",
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/816_Paper.pdf",
pages = "854--858",
abstract = "Syntactic parsing of speech transcriptions faces the problem of the presence of disfluencies that break the syntactic structure of the utterances. We propose in this paper two solutions to this problem. The first one relies on a disfluencies predictor that detects disfluencies and removes them prior to parsing. The second one integrates the disfluencies in the syntactic structure of the utterances and train a disfluencies aware parser.",
}
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<abstract>Syntactic parsing of speech transcriptions faces the problem of the presence of disfluencies that break the syntactic structure of the utterances. We propose in this paper two solutions to this problem. The first one relies on a disfluencies predictor that detects disfluencies and removes them prior to parsing. The second one integrates the disfluencies in the syntactic structure of the utterances and train a disfluencies aware parser.</abstract>
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%0 Conference Proceedings
%T Automatically enriching spoken corpora with syntactic information for linguistic studies
%A Nasr, Alexis
%A Bechet, Frederic
%A Favre, Benoit
%A Bazillon, Thierry
%A Deulofeu, Jose
%A Valli, Andre
%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 nasr-etal-2014-automatically
%X Syntactic parsing of speech transcriptions faces the problem of the presence of disfluencies that break the syntactic structure of the utterances. We propose in this paper two solutions to this problem. The first one relies on a disfluencies predictor that detects disfluencies and removes them prior to parsing. The second one integrates the disfluencies in the syntactic structure of the utterances and train a disfluencies aware parser.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/816_Paper.pdf
%P 854-858
Markdown (Informal)
[Automatically enriching spoken corpora with syntactic information for linguistic studies](http://www.lrec-conf.org/proceedings/lrec2014/pdf/816_Paper.pdf) (Nasr et al., LREC 2014)
ACL