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Abstract
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| This paper describes the application of language translation technologies for generating bus information in Spanish Sign Language (LSE: Lengua de Signos Española). In this work, two main systems have been developed: the first for translating text messages from information panels and the second for translating spoken Spanish into natural conversations at the information point of the bus company. Both systems are made up of a natural language translator (for converting a word sentence into a sequence of LSE signs), and a 3D avatar animation module (for playing back the signs). For the natural language translator, two technological approaches have been analyzed and integrated: an example-based strategy and a statistical translator. When translating spoken utterances, it is also necessary to incorporate a speech recognizer for decoding the spoken utterance into a word sequence, prior to the language translation module. This paper includes a detailed description of the field evaluation carried out in this domain. This evaluation has been carried out at the customer information office in Madrid involving both real bus company employees and deaf people. The evaluation includes objective measurements from the system and information from questionnaires. In the field evaluation, the whole translation presents an SER (Sign Error Rate) of less than 10% and a BLEU greater than 90%. | |
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International
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Si |
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JCR
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Si |
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Title
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Engineering Applications of Artificial Intelligence |
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ISBN
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0952-1976 |
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Impact factor JCR
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1,962 |
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Impact info
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Volume
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10.1016/j.engappai.2014.02.006 |
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Journal number
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32 |
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From page
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258 |
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To page
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269 |
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Month
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JUNIO |
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Ranking
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15/87 |