Summary of the paper
| Title | Expanding N-gram Analytics in ELAN and a Case Study for Sign Synthesis |
|---|---|
| Authors | Rosalee Wolfe, John Mcdonald, Larwan Berke and 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. |
| Topics | Sign Language Recognition/Generation, Multimedia Document Processing |
Full paper  |
Expanding N-gram Analytics in ELAN and a Case Study for Sign Synthesis |
| Bibtex | @InProceedings{WOLFE14.6, author = {Rosalee Wolfe and John Mcdonald and Larwan Berke and Marie Stumbo}, title = {Expanding N-gram Analytics in ELAN and a Case Study for Sign Synthesis}, booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)}, year = {2014}, month = {may}, date = {26-31}, address = {Reykjavik, Iceland}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-8-4}, language = {english} } |