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A syntactical self-organizing map with Levensthein metrics and its application for automatic translation [articol]

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dc.contributor.author Neagoe, Victor
dc.date.accessioned 2021-09-14T09:51:06Z
dc.date.available 2021-09-14T09:51:06Z
dc.date.issued 2004
dc.identifier.citation Neagoe, Victor. A syntactical self-organizing map with Levensthein metrics and its application for automatic translation. Timişoara: Editura Politehnica, 2004 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,A%20syntactical%20self-organizing%20map%20with%20Levensthein%20metrics%20and%20its%20application%20for%20automatic%20translation&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract We present an original approach to the design and test of a Syntactical Self-Organizing Map (SSOM). The proposed SSOM is based on Levensthein metrics and it uses a symbolic representation for both the inputs and also the net weights. We have chosen a ring architecture of the map. The software implementation of the experimental model is designed for automatic Romanian-English translation of 1009 words and expressions. We have evaluated the error correction capabilities of the system. en_US
dc.language.iso en en_US
dc.publisher Timişoara : Editura Politehnica en_US
dc.relation.ispartofseries Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 1 (2004), p. 348-351
dc.subject Syntactical self-organizing map en_US
dc.subject Levensthein distance en_US
dc.subject Automatic translation en_US
dc.title A syntactical self-organizing map with Levensthein metrics and its application for automatic translation [articol] en_US
dc.type Article en_US


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