Abstract
This paper presents the architecture of a translator from written Italian into Italian Sign Language. We describe the main features of the four modules of this architecture, i.e. a dependency parser for Italian, an ontology based semantic interpreter, a generator based on expert-systems and combinatory categorial grammars, a planner to position signs in space. The result of this translation chain is signed by a virtual character. Finally, we report the results of a first “intrinsic” experiment for the evaluation of translation quality.
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Mazzei, A., Lesmo, L., Battaglino, C., Vendrame, M., Bucciarelli, M. (2013). Deep Natural Language Processing for Italian Sign Language Translation. In: Baldoni, M., Baroglio, C., Boella, G., Micalizio, R. (eds) AI*IA 2013: Advances in Artificial Intelligence. AI*IA 2013. Lecture Notes in Computer Science(), vol 8249. Springer, Cham. https://doi.org/10.1007/978-3-319-03524-6_17
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DOI: https://doi.org/10.1007/978-3-319-03524-6_17
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