Learning structural correspondences across different linguistic domains with synchronous neural language models

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dc.contributor.authorGouws S
dc.contributor.authorVan Rooyen G-J
dc.date.accessioned2013-07-03T08:32:07Z
dc.date.available2013-07-03T08:32:07Z
dc.date.issued2012
dc.descriptionIngenieurswese
dc.descriptionElektriese En Elektroniese Ingenie
dc.descriptionPlease help us populate SUNScholar with the post print version of this article. It can be e-mailed to: scholar@sun.ac.za
dc.identifier.urihttp://hdl.handle.net/10019.1/83883
dc.titleLearning structural correspondences across different linguistic domains with synchronous neural language models
dc.typeProceedings International
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