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encountering a terminal node entails
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; in syn - thesis , output of
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morphological analyzer with CPS - based
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for non-segmented languages can
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C69-0701 |
languages such as Russian ) . The
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takes different forms depending
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C02-1140 |
</figurecaption> Abstract The
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of unknown words is particularly
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to start as well as to end the
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. rn 4.2 How to Recognize Morpho-fragments
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analysis appears in the way of the
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. The standard technique for
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A83-1023 |
markers attributable by a simple
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. The markers are essentially
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multiple equivalents produced by
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is to select those which are
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need for a more user-friendly
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remains . In this paper we describe
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other hand , tokenization and
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are language dependent and shall
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A97-1048 |
soon as ( a ) is entered , the
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function is invoked automatically
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the analyzer just consults the
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component whether strings between
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dictionary . If any string exists , the
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component returns the set of
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research attempts to alleviate the
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bottleneck by way of a comprehensive
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which has advantages of both a
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tool and a machine translation
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C02-1051 |
morphological processing with on-demand
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and syntactic processing with
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dictionary , resulting in an efficient
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with no spurious am - biguity
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look - up , and disambiguation .
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gets a string and returns a set
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segmentation is distinct from the
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task , so we do not tackle it
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Then all multiple results from
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are compared with the contents
|