A94-1020 |
a collection of approaches to
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discourse structure . Some views
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A00-1018 |
Error detection Complete automatic
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of the translation process is
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A00-1034 |
tagging which combines all the
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techniques mentioned above .
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A00-1044 |
of the Broadcast News acoustic
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data , comprising 114 episodes
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A97-1054 |
with different annotations for
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on different features . The workbench
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C00-1085 |
ambiguity . 5 Modelling the Grammar
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Modelling
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the TSG with respect to the parsed
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C00-2099 |
dependency types , but accurately
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modelling
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dependent order in French requires
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C00-1075 |
these are available . Analogical
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Modelling
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( AM ) has been proposed as an
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C00-1013 |
I ' ; TAP-3 is COlnputational
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modelling
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of natural languages . This attitude
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C00-1071 |
such language is in favour of
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modelling
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part of natural language using
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C00-1075 |
<title> Application of Analogical
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Modelling
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to Example Based Machine Translation
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A00-1034 |
the most successful statistical
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modelling
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paradigm in these domains . MaxEnt
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A88-1002 |
the larger set of categories .
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Modelling
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the categorizations produced
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A00-2001 |
basis for future work in dialogue
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modelling
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. Acknowledgments The TRINDI
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C00-1075 |
based on Skousen 's analogical
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modelling
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algorithm ( Skousen , R. 1989
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C00-1006 |
characters to our advantage , in
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modelling
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seinantic similarity between
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C00-1006 |
local model of character order in
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modelling
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similarity according to N-grams
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C00-1085 |
reduce the overall ambiguity . 5
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Modelling
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the Grammar Modelling the TSG
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C00-2098 |
backing-off in statistical language
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modelling
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( Chamiak , 1993 ) and approximate
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A83-1013 |
-- attribute approach to data
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modelling
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, the forms of triple were chosen
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