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natural language generation ,
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incremental processing
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is a central issue . According
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C96-1070 |
recomputing partial results and achieve
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incremental processing
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by using a bottom-up and left-to-right
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of these rules take place . 3.3
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Incremental processing
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In natural language generation
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C92-1061 |
the capacity of leading to an
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incremental processing
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, which , in turn , leads to
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: quantitative and qualitative
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incremental processing
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( \ -RSB- ? in - kier , 1997
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investigate the effects of imposing
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incremental processing
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and significant memory limitations
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C92-1024 |
the theoretical possibility of
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incremental processing
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using the Lambek calculus , no
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C96-2191 |
translation : 1 . Incremental processing
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Incremental processing
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is required so as to handle fragmental
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C92-1024 |
might be viewed as antithetical to
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incremental processing
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since it fundamentally involves
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semantic analysis disables the
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incremental processing
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required for real-time dialogue
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spoken-language translation : 1 .
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Incremental processing
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Incremental processing is required
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2 ) because it 's clear during
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incremental processing
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that the text following tile
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are algorithms m ~ suitable for
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incremental processing
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( e.g. A * ) . h ~ crementality
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utility of a tninlmality notion in
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incremental processing
|
) 1 Introduction 1.1 Background
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granunatical formalisms enable
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incremental processing
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. Cai , egorial gratmnoa - in
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A92-1006 |
for parallel exe - cution , the
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incremental processing
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of parallel computing tasks on
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) use the managers to simulate
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Incremental Processing
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. In the second section , some
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- kier , 1997 ) . Quantitative
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incremental processing
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nmans that the inlmt to a process
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implies faster unification . The
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incremental processing
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means that at the end of the
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( ~ meXnOl ' y limitntions mM
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incremental processing
|
. Fm ' - thermore , parse times
|