The annotation of the C-ORAL-BRASIL oral through the implementation of the Palavras Parser

Eckhard Bick, Heliana Mello, Alessandro Panunzi, Tommaso Raso


Abstract
This article describes the morphosyntactic annotation of the C-ORAL-BRASIL speech corpus, using an adapted version of the Palavras parser. In order to achieve compatibility with annotation rules designed for standard written Portuguese, transcribed words were orthographically normalized, and the parsing lexicon augmented with speech-specific material, phonetically spelled abbreviations etc. Using a two-level annotation approach, speech flow markers like overlaps, retractions and non-verbal productions were separated from running, annotatable text. In the absence of punctuation, syntactic segmentation was achieved by exploiting prosodic break markers, enhanced by a rule-based distinctions between pause and break functions. Under optimal conditions, the modified parsing system achieved correctness rates (F-scores) of 98.6% for part of speech, 95% for syntactic function and 99% for lemmatization. Especially at the syntactic level, a clear connection between accessibility of prosodic break markers and annotation performance could be documented.
Anthology ID:
L12-1333
Volume:
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)
Month:
May
Year:
2012
Address:
Istanbul, Turkey
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3382–3386
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/586_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Eckhard Bick, Heliana Mello, Alessandro Panunzi, and Tommaso Raso. 2012. The annotation of the C-ORAL-BRASIL oral through the implementation of the Palavras Parser. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 3382–3386, Istanbul, Turkey. European Language Resources Association (ELRA).
Cite (Informal):
The annotation of the C-ORAL-BRASIL oral through the implementation of the Palavras Parser (Bick et al., LREC 2012)
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PDF:
http://www.lrec-conf.org/proceedings/lrec2012/pdf/586_Paper.pdf