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We show that this model of
<term>
parallel wordnet building
</term>
is effective and achieves higher
<term>
precision
</term>
in
<term>
LSR prediction
</term>
.
<term>
Taiwan Child Language Corpus
</term>
contains scripts transcribed from about 330 hours of recordings of fourteen young children from
<term>
Southern Min Chinese
</term>
speaking families in Taiwan .
#7171We show that this model of parallel wordnet building is effective and achieves higher precision in LSR prediction.Taiwan Child Language Corpus contains scripts transcribed from about 330 hours of recordings of fourteen young children from Southern Min Chinese speaking families in Taiwan.