Title: A New Evaluation Approach for Sign Language Machine Translation
Abstract: This paper proposes a new evaluation approach for sign language machine translation (SLMT). It aims to show a better correlation between its automatically generated scores and human judgements of translation accuracy. To show the correlation, an Arabic Sign Language (ArSL) corpus has been used for the evaluation experiments and the results obtained by various methods.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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Cited By Count: 5
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