Multilingual Terminology in FF POIROT

The ‘Centrum voor Vaktaal en Communicatie’ (http://cvc.ehb.be/) compiled English, French, Italian and Dutch terminology of financial fraud and relevant related domains (such as VAT, investment, e-commerce, trading, finance) in an FF POIROT multilingual terminology base. Unlike many other terminology bases, the FF POIROT terminology base provides detailed definitions and rich semantic annotations and is multifunctional: as initial knowledge input it will support multilingual ontology modeling and as knowledge resource containing multilingual terminology of more than 5000 ontological concepts, it will be useful for multilingual, ontology-based natural language processing applications against financial fraud.

The terminology base has been developed following an approach, called ‘Termontography’ (see figure below), in which a manually performed ontology-oriented terminological analysis is supported by automatic tools, such as the automatic alignment of a multilingual parallel corpus using state-of-the-art technology, the extraction of terms, relations and knowledge rich contexts using technology developed by Language and Computing (http://www.landcglobal.com/index.php/), or the extraction of translation equivalents using software tools developed by the Research Institute for Artificial Intelligence (http://www.racai.ro/)

 

The Termontography approach

 

More information about the FF POIROT terminology base and the Termontography method and tools can be found in the following articles:

 

Reference

Kerremans, K., Desmeytere, I., Temmerman, R. and Wille, P. (2005). "Application-oriented terminography in financial forensics". Terminology, vol. 11:1.

Kerremans, K., Temmerman, R. and Tummers, J. (2003). "Representing multilingual and culture-specific knowledge in a VAT regulatory ontology: support from the termontography approach". In: Robert Meersman & Zahir Tari (eds.) OTM 2003 Workshops. Tübingen: Springer Verlag.

Kerremans, K., Temmerman, R. and Zhao, G. (2005). "Terminology and Knowledge Engineering in Fraud Detection". Proceedings of the Terminology and Knowledge Engineering Conference, Copenhagen.