In this work, we are going to present the Traduco System, a collaborative web-based application for the translation of the Babylonian Talmud (BT) into Italian. The System has been designed around a Computer-Assisted Translation (CAT) component, constituting its core. However, Traduco is not limited to assist the translation process and to provide printing functionalities. In fact, it allows linguistic and semantic annotations and advanced searches, paving the way to the construction of a talmudic knowledge base. In order to achieve these results, the Traduco development process abided by a model that took into account aspects of Natural Language Processing and Knowledge Engineering. The component based architectural structure was implemented using the object oriented Java 2 Enterprise Edition framework.

Translation, Annotation and Knowledge Modelling of the Babylonian Talmud: the Traduco System

A Bellandi;G Benotto;E Giovannetti
2015

Abstract

In this work, we are going to present the Traduco System, a collaborative web-based application for the translation of the Babylonian Talmud (BT) into Italian. The System has been designed around a Computer-Assisted Translation (CAT) component, constituting its core. However, Traduco is not limited to assist the translation process and to provide printing functionalities. In fact, it allows linguistic and semantic annotations and advanced searches, paving the way to the construction of a talmudic knowledge base. In order to achieve these results, the Traduco development process abided by a model that took into account aspects of Natural Language Processing and Knowledge Engineering. The component based architectural structure was implemented using the object oriented Java 2 Enterprise Edition framework.
2015
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Computer-Assisted Translation
Interpretation
Semantic Annotation
Babylonian Talmud
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/302509
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