W02-1702 a key factor of any successful document generation system . This paper shows how
P04-3024 assumes a stochastic model of document generation . Using Bayes ' rule , the model
J01-2008 translation rather than in standard document generation , the kind of application primarily
N07-1055 problems by extending our model of document generation . Like Barzilay and Lee ( 2004
J87-1020 been devised for a " multilingual document generation " project . The Functional Grammar
C86-1126 been devised for a " multilingual document generation " project . Martin KAY has shown
A94-1044 end " , where the input to the document generation process is created . A first
W00-1405 correspond to the traditional source document generation and translation into the target
W02-1702 XML/XSL-based technology in a multilingual document generation system for educational purposes
N04-1003 each mention is . 3 A Model of Document Generation We define a probability distribution
W02-1703 design of a prototype automatic document generation system capable of producing the
W00-1405 guide the process of bilingual document generation . Rather than employing just
W02-1703 collection work and the prototype document generation systems is to place the commonly
J01-2008 expression gener - ation , multilingual document generation , and proof presentation . He
P11-1153 Blei et al. , 2003 ) , i.e. , the document generation probabilities are invariant to
J97-1004 and Bellcore to develop robust document generation systems ( McKeown , Robin , and
A97-1035 extraction , text sum - marisation , document generation , machine translation , and second
J89-1005 James Sprowl developed the legal document generation system ABF . Her present research
J89-1004 James Sprowl developed the legal document generation system ABF . Her present research
E14-1067 length . Such applications include document generation ( O’Donnell , 1997 ) ,
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