Английская Википедия:Confusion network
Шаблон:Duplication Шаблон:Short description A confusion network (sometimes called a word confusion network or informally known as a sausage) is a natural language processing method that combines outputs from multiple automatic speech recognition or machine translation systems.[1][2] Confusion networks are simple linear directed acyclic graphs with the property that each a path from the start node to the end node goes through all the other nodes. The set of words represented by edges between two nodes is called a confusion set. In machine translation, the defining characteristic of confusion networks is that they allow multiple ambiguous inputs, deferring committal translation decisions until later stages of processing.[3][4] This approach is used in the open source machine translation software Moses[5] and the proprietary translation API in IBM Bluemix Watson.[6]
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