Sign Language translation using an error tolerant retrieval algorithm

Chung Hsien Wu, Yu Hsien Chiu, Kung Wei Cheng

研究成果: Paper同行評審

1 引文 斯高帕斯(Scopus)

摘要

This paper addresses an error-tolerant retrieval algorithm for generating sentences from ill-formed sign sequences in Taiwanese Sign Language (TSL). The design methodology is motivated by the kinematics of hand gestures for sign language. In order to increase the input rate and retrieval accuracy, the basic design strategy leads to develop an efficient and effective sign feature retrieval method. In this approach, a Multi-list Code Tree (MCT) data structure for sign feature indexing and an error-tolerant matching algorithm are proposed. For text generation, the optimal path in the word graph, generated from the sign input sequence, is incrementally estimated by using a translation model. Several interface design and evaluation methods are also conducted for empirical study. Evaluation results show that the generation rate and retrieval accuracy for sentence construction are significantly improved.

原文English
頁面637-640
頁數4
出版狀態Published - 2002
事件7th International Conference on Spoken Language Processing, ICSLP 2002 - Denver, United States
持續時間: 2002 9月 162002 9月 20

Other

Other7th International Conference on Spoken Language Processing, ICSLP 2002
國家/地區United States
城市Denver
期間02-09-1602-09-20

All Science Journal Classification (ASJC) codes

  • 語言與語言學
  • 語言和語言學

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