sign-lang@LREC Anthology

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

Wolfe, Rosalee ORCID button Wolfe, Rosalee | McDonald, John C. ORCID button McDonald, John C. | Berke, Larwan | Stumbo, Marie

Volume:
Proceedings of the 9th International Conference on Language Resources and Evaluation (LREC 2014)
Venue:
Reykjavik, Iceland
Date:
26 to 31 May 2014
Pages:
1880–1885
Publisher:
European Language Resources Association (ELRA)
License:
CC BY-NC 4.0
ACL ID:
L14-1484
ISBN:
978-2-9517408-8-4

Content Categories

Languages:
American Sign Language
Corpora:
ASLLRP
Avatars:
Paula
Editors:
ELAN

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.

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@inproceedings{wolfe-etal-2014-expanding:lrec,
  author    = {Wolfe, Rosalee and McDonald, John C. and Berke, Larwan and Stumbo, Marie},
  title     = {Expanding n-gram analytics in {ELAN} and a case study for sign synthesis},
  pages     = {1880--1885},
  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 = {9th International Conference on Language Resources and Evaluation ({LREC} 2014)},
  publisher = {{European Language Resources Association (ELRA)}},
  address   = {Reykjavik, Iceland},
  day       = {26--31},
  month     = may,
  year      = {2014},
  isbn      = {978-2-9517408-8-4},
  language  = {english},
  url       = {http://www.lrec-conf.org/proceedings/lrec2014/pdf/6_Paper.pdf}
}
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