C69-1301 generation program , ( 2 ) the generation algorithm . Section 5 desczibes the implementation
A00-2003 information supplied for the NP generation algorithm by the NLG system . Typical examples
C04-1150 conceptual relation . The gloss generation algorithm is based on the definition of
C04-1096 used to extract parameters of our generation algorithm in the following sections . 3
C86-1130 examples and a description of the generation algorithm used by KING , the reader is
C04-1150 enhance OntoLearn with a gloss generation algorithm . The idea is to generate glosses
C88-1074 top-down , with back - tracking . The generation algorithm consists of building a complex
C04-1096 such situations , and built a generation algorithm based on the re - sults . The
C69-3701 Algorithm A flow chart of the text generation algorithm for handling subspecifications
C69-3701 of the data base and the text generation algorithm . But instead of discussing one
C69-3701 SL : OU ) is set to 100 . Text Generation Algorithm A flow chart of the text generation
C04-1096 these observations , we built a generation algorithm using only intra-group relations
C00-1045 the ambiguity constraint in a generation algorithm : * Which set of 1 ) reviously
C04-1155 the knowledge base . 3.1 The TCT Generation Algorithm In the overall construction processes
A97-1050 efficiently interleaved with the point generation algorithm so that SIMR runs in linear time
C86-1134 time if the verbtype is LOC . The generation algorithm checks whether the chosen optional
A00-1010 assertion or as a description . The generation algorithm assembles the selected realizations
C02-1130 failure of our automatic data generation algorithm to produce a good sample of training
C69-1301 characteristics of the language data and the generation algorithm ( to be described latex ) , we
C00-1062 We can view several difl!erent generation algorithms as strategies tbr avoiding the
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