Evaluating American sign language generation through the participation of native ASL signers

ASSETS'07: Proceedings of the Ninth International ACM SIGACCESS Conference on Computers and Accessibility

Volumn , Issue , 2007, Pages 211-218

  Huenerfauth, Matt ^a   Zhao, Liming ^b   Gu, Erdan ^b   Allbeck, Jan ^b  

^a CITY UNIVERSITY OF NEW YORK   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Accessibility technology for the deaf; American sign language; Animation; Evaluation; Natural language generation

Indexed keywords

ANIMATION; HANDICAPPED PERSONS; NATURAL LANGUAGE PROCESSING SYSTEMS; USER INTERFACES;

ACCESSIBILITY TECHNOLOGY; AMERICAN SIGN LANGUAGE; NATURAL LANGUAGE GENERATION;

LINGUISTICS;

EID: 42149181854     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1296843.1296879     Document Type: Conference Paper

References (18)

1. N. Badler, J. Allbeck, S.J. Lee, R. Rabbitz, T. Broderick, & K. Mulkern. 2005. New behavioral paradigms for virtual human models. SAE Digital Human Modeling.
2. N. Badler, R. Bindiganavale, J. Allbeck, W. Schuler, L. Zhao, S. Lee, H. Shin, & M. Palmer. 2000. Parameterizedaction representation & natural language instructions for dynamic behavior modification of embodied agents. AAAI Spring Symposium.
3. S. Bangalore, O. Rambow, S. Whittaker. 2000. Evaluation Metrics for Generation. Proceedings of the First International Conference on Natural Language Generation.
4. R. Coyne and R. Sproat. 2001. WordsEye: an automatic textto-scene conversion system. ACM SIGGRAPH.
5. J.A. Holt. 1991. Demographic, Stanford Achievement Test - 8th Edition for Deaf and Hard of Hearing Students: Reading Comprehension Subgroup Results.
6. M. Huenerfauth. 2006. Representing Coordination and NonCoordination in American Sign Language Animations. Behaviour & Information Technology, 25:4.
7. M. Huenerfauth. 2006. Generating American Sign Language Classifier Predicates for English-to-ASL Machine Translation. Dissertation, U. Pennsylvania.
8. M. Huenerfauth. In Press. Representing ASL Classifier Predicates Using Spatially Parameterized Planning Templates. In M.T. Banich and D. Caccamise (Eds.), Generalization of Knowledge. Mahwah, NJ: Erlbaum.
9. M. Huenerfauth, L. Zhao, E. Gu, & J. Allbeck. 2007. Design and Evaluation of an American Sign Language Generator. 45th Annual Meeting of the Association for Computational Linguistics. Workshop on Embodied Language Processing. Prague, Check Republic.
10. S. Liddell. 2003. Grammar, Gesture, and Meaning in American Sign Language. UK: Cambridge U. Press.
11. R.E. Mitchell, T.A. Young, B. Bachleda, & M.A. Karchmer. 2006. How Many People Use ASL in the United States? Why Estimates Need Updating. Sign Language Studies, Vol. 6, Number 3.
12. S. Morrissey & A. Way. 2006. Lost in Translation: The Problems of Using Mainstream MT Evaluation Metrics for Sign Language Translation. 5th SALTMIL Workshop on Minority Languages, LREC-2006.
13. C. Neidle, J. Kegl, D. MacLaughlin, B. Bahan, & R.G. Lee. 2000. The Syntax of American Sign Language: Functional Categories and Hierarchical Structure. Cambridge, MA: The MIT Press.
14. C. Padden & T. Humphries. 2005. Inside Deaf Culture. Cambridge, MA: Harvard University Press.
15. K. Papineni, S. Roukos, T. Ward, W.-J. Zhu. 2002. BLEU: a method for automatic evaluation of machine translation, 40th Annual Meeting of Assoc. for Computational Linguistics.
16. S. Pasquariello & C. Pelachaud. 2001. Greta: A simple facial animation engine. In 6th Online World Conference on Soft Computing in Industrial Applications.
17. L. Zhao, K. Kipper, W. Schüler, C. Vogler, N.I. Badler, & M. Palmer. 2000. Machine Translation System from English to American Sign Language. Assoc, for MT in the Americas.
18. É. Sáfár & I. Marshall. 2001. The architecture of an Englishtext-to-Sign-Languages translation system. Recent Advances in Natural Language Processing.