发明名称 Probabilistic model for natural language generation
摘要 A natural language generator utilizes a stochastic process to choose a derivation tree according to a predetermined reference grammar, such as a tree-adjoined grammar (TAG). A word lattice is created from a single semi-specified derivation tree and the proper path (i.e., desired output string) is selected from the lattice using a least cost, or other appropriate algorithm.
申请公布号 US6947885(B2) 申请公布日期 2005.09.20
申请号 US20010758483 申请日期 2001.01.11
申请人 AT&T CORP. 发明人 BANGALORE SRINIVAS;RAMBOW OWEN CHRISTOPHER
分类号 G06F17/27;G06F17/28;(IPC1-7):G06F17/20 主分类号 G06F17/27
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