Revising the annotation of a Broadcast News corpus: a linguistic approach

Vera Cabarrão, Helena Moniz, Fernando Batista, Ricardo Ribeiro, Nuno Mamede, Hugo Meinedo, Isabel Trancoso, Ana Isabel Mata, David Martins de Matos

Abstract
This paper presents a linguistic revision process of a speech corpus of Portuguese broadcast news focusing on metadata annotation for rich transcription, and reports on the impact of the new data on the performance for several modules. The main focus of the revision process consisted on annotating and revising structural metadata events, such as disfluencies and punctuation marks. The resultant revised data is now being extensively used, and was of extreme importance for improving the performance of several modules, especially the punctuation and capitalization modules, but also the speech recognition system, and all the subsequent modules. The resultant data has also been recently used in disfluency studies across domains.
Anthology ID:
L14-1017
Volume:
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)
Month:
May
Year:
2014
Address:
Reykjavik, Iceland
Editors:
Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Hrafn Loftsson, Bente Maegaard, Joseph Mariani, Asuncion Moreno, Jan Odijk, Stelios Piperidis
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3908–3913
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/1020_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Vera Cabarrão, Helena Moniz, Fernando Batista, Ricardo Ribeiro, Nuno Mamede, Hugo Meinedo, Isabel Trancoso, Ana Isabel Mata, and David Martins de Matos. 2014. Revising the annotation of a Broadcast News corpus: a linguistic approach. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3908–3913, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Revising the annotation of a Broadcast News corpus: a linguistic approach (Cabarrão et al., LREC 2014)
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http://www.lrec-conf.org/proceedings/lrec2014/pdf/1020_Paper.pdf
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