Farsnet is the first, most accurate and largest Persian Wordnet.
Farsnet is the first, most accurate and largest Persian Wordnet developed in the Natural Language Processing Laboratory of Shahid Beheshti University with the support of the Iranian Telecommunications Research Center. The latest version of Farsnet (version 3) has more than 100 thousand lexical entries (words or phrases) that are located in about 40 thousand synonym sets. At least one meaning is defined for each entry and each meaning participates in one and only one synonym set. All synonym sets either participate in a hierarchy or are introduced as the head of a group. In addition, each synonym set or at least one of its members has participated in at least one non-hierarchical relationship. Also, each synonym set is mapped to a synonym set, such as in Princeton Wordnet 3.1, if possible. For more information, please visit http://farsnet.nlp.sbu.ac.ir.
Contributors to the development:
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Reference information:
- ۱. M. Shamsfard, “Developing FarsNet: A lexical ontology for Persian,” in 4th Global WordNet Conference, Szeged, Hungary, 2008.
- ۲. M. Shamsfard, A. Hesabi, H. Fadaei, N. Mansoory, A. Famian, S. Bagherbeigi, E. Fekri, M. Monshizadeh, and S. M. Assi, “Semi automatic development of farsnet; the persian wordnet,” in Proceedings of 5th global WordNet conference, Mumbai, India, 2010, vol. 29.
- ۳. M. Rouhizadeh, M. A. Yarmohammadi, and M. Shamsfard, “Developing the Persian WordNet of verbs: Issues of compound verbs and building the editor,” in Proceedings of 5th Global WordNet Conference, 2010.
- ۴. Taheri and M. Shamsfard, “Mapping farsnet to suggested upper merged ontology,” in Asia Information Retrieval Symposium, 2011, pp. 604–۶۱۳.
- ۵. M. Shamsfard and Y. Ghazanfari, “Augmenting FarsNet with new relations and structures for verbs,” in 8th Global WordNet Conference (GWC 2016), 2016.