Sven Dickinson


2012

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Detecting Reduplication in Videos of American Sign Language
Zoya Gavrilov | Stan Sclaroff | Carol Neidle | Sven Dickinson
Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12)

A framework is proposed for the detection of reduplication in digital videos of American Sign Language (ASL). In ASL, reduplication is used for a variety of linguistic purposes, including overt marking of plurality on nouns, aspectual inflection on verbs, and nominalization of verbal forms. Reduplication involves the repetition, often partial, of the articulation of a sign. In this paper, the apriori algorithm for mining frequent patterns in data streams is adapted for finding reduplication in videos of ASL. The proposed algorithm can account for varying weights on items in the apriori algorithm's input sequence. In addition, the apriori algorithm is extended to allow for inexact matching of similar hand motion subsequences and to provide robustness to noise. The formulation is evaluated on 105 lexical signs produced by two native signers. To demonstrate the formulation, overall hand motion direction and magnitude are considered; however, the formulation should be amenable to combining these features with others, such as hand shape, orientation, and place of articulation.

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Unsupervised Disambiguation of Image Captions
Wesley May | Sanja Fidler | Afsaneh Fazly | Sven Dickinson | Suzanne Stevenson
*SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012)

2003

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Towards a Framework for Learning Structured Shape Models from Text-Annotated Images
Sven Wachsmuth | Suzanne Stevenson | Sven Dickinson
Proceedings of the HLT-NAACL 2003 Workshop on Learning Word Meaning from Non-Linguistic Data