A00-1027 are extracted from hand-built segmentation dictionary . We selected nouns
A00-1027 accurate results . We need some good segmentation model for compound noun , therefore
A00-1027 Furthermore , accurate compound noun segmentation plays an important role in the
A00-1002 modify it or to reject it . The segmentation of a translation memory is a
A00-1027 paper presents two methods for segmentation of compound nouns . First , we
A00-1027 method of Korean compound noun segmentation based on lexical data extracted
A00-1027 treated as unseen words without a segmentation process . Furthermore , accurate
A00-1027 , therefore . In compound noun segmentation , the thing that we pay attention
A00-1027 are included in compound noun segmentation dictionary . There - fore , it
A00-1027 citations . <title> Compound Noun Segmentation Based on Lexical Data Extracted
A00-1027 constructed built-in dictionary for segmentation whose data were extracted from
A00-1027 data extracted from corpus . The segmentation is done by two steps : First
A00-1027 Extraction of Lexical Information for Segmentation from Corpus As we said earlier
A00-1027 nouns and construct the hand built segmentation dictionary with them . The dictionary
A00-1027 are about 100,000 . Second , the segmentation algorithm is applied if the compound
A00-1027 million word corpus . Second , a segmentation algorithm using statistical data
A00-1027 application system . Compound noun segmentation is necessarily required for improving
A00-1027 The first phase of compound noun segmentation uses the built-in dictionary
A00-1027 or phrase without its accurate segmentation . The problem in compound noun
A00-1027 built-in dictionary is that the segmentation could ( 1 ) be very accurate
hide detail