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This paper reports on the restructuring of a bilingual (Greek Sign Language, GSL – Modern Greek) lexicographic database with the use of the WordNet semantic and lexical database. The relevant research was carried out by the Institute for Language and Speech Processing (ILSP) / Athena R.C. team within the framework of the European project Easier. The project will produce a framework for intelligent machine translation to bring down language barriers among several spoken/written and sign languages. This paper describes the experience of the ILSP team to contribute to a multilingual repository of signs and their corresponding translations and to organize and enhance a bilingual dictionary (GSL – Modern Greek) as a result of this mapping; this will be the main focus of this paper. The methodology followed relies on the use of WordNet and, more specifically, the Open Multilingual WordNet (OMW) tool to map content in GSL to WordNet synsets.
In Spoken Egyptian, the form of a linguistic sign is restricted by rules of root structure and consonant compatibility as well as word-formation patterns. Hieroglyphic Egyptian, however, displays additional principles of sign formation. Iconicity is one of the crucial features of a part of its sign inventory. In this article, hieroglyphic iconicity will be investigated by means of a preliminary comparative typology originally developed for German Sign Language (Kutscher 2010). The authors argue that patterns found in Egyptian hieroglyphic sign formation are systematically comparable to patterns of German Sign Language (DGS). These patterns determine what types of lexical meaning can be inferred from iconic linguistic signs.