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:
- 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)
- PDF:
- http://www.lrec-conf.org/proceedings/lrec2014/pdf/6_Paper.pdf