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considered different techniques for
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online . One of their techniques
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Our approach to morphology-based
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consists of three steps ( Figure
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C ) Term Phrase Generation The
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methods described up to now are
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techniques for morphology-based
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that we discuss below . The output
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training data and we do not do
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at all . In Table 2 and Table
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, there is still much room for
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. ) , The second restriction
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techniques based on term grouping and
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leaves something to be desired
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for the col More recently other
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experiments have been conducted
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and document vocabularies . The
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tends to enhance the search recall
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secondlanguage learning , especially in
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and reading comprehension . On
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vocabulary statistics and coverage *
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from supplemental materials 4.2
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In order to study the effect of
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more deeply , we trained a subset
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their work additionally studies
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and relating in-vocabulary words
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specific part-ofspeech ( POS ) .
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in HLT There have been diverse
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alternatives . 3 Morphology-based
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3.1 Approach Our approach to
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available evidence indicate that the
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techniques which add to the existing
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SynOnyms for language Learners '
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( RESOLVE ) . This involves first
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generated . We limit the number of
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using different thresholds after
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Unsupervised Morphology-Based
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</title> Sadegh Rasooli Thomas
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spatial models have been used for
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( Zhang and Elhadad , 2013 ;
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