Expanding n-gram analytics in ELAN and a case study for sign synthesis

Rosalee Wolfe, John McDonald, Larwan Berke, Marie Stumbo


Abstract
Corpus analysis is a powerful tool for signed language synthesis. A new extension to ELAN offers expanded n-gram analysis tools including improved search capabilities and an extensive library of statistical measures of association for n-grams. Uncovering and exploring coarticulatory timing effects via corpus analysis requires n-gram analysis to discover the most frequently occurring bigrams. This paper presents an overview of the new tools and a case study in American Sign Language synthesis that exploits these capabilities for computing more natural timing in generated sentences. The new extension provides a time-saving convenience for language researchers using ELAN.
Anthology ID:
L14-1484
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:
1880–1885
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/6_Paper.pdf
DOI:
Bibkey:
Cite (ACL):
Rosalee Wolfe, John McDonald, Larwan Berke, and Marie Stumbo. 2014. Expanding n-gram analytics in ELAN and a case study for sign synthesis. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 1880–1885, Reykjavik, Iceland. European Language Resources Association (ELRA).
Cite (Informal):
Expanding n-gram analytics in ELAN and a case study for sign synthesis (Wolfe et al., LREC 2014)
Copy Citation:
PDF:
http://www.lrec-conf.org/proceedings/lrec2014/pdf/6_Paper.pdf