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<Paper uid="C00-2156">
  <Title>Decision-Tree based Error Correction for Statistical Phrase Break Prediction in Korean *</Title>
  <Section position="6" start_page="1053" end_page="1053" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> This t)~l)er l)r{;s(:nts ;~ new 1)hr;tse t)rea.k predic|;ion ~rt:hil;eel;ure l;h~l; inl;egr~tes the t}rob~bilistie ;~t)t)ro~eh wii;h the (le(:ision-tree 1)~s{'(t ~tl)t)ro~teh in ;~ synergistic w~y. Our m~in contl'it)u|,ions include presenl;ing (leeision |;ree-1);~se(1 error correction for 1)hr~se t)re~k prediel;ion. Also, i)rol)~fl)ilistic t)hrase break prediction w~ts imt)leme, nt;e(l a.s ;I,51 inil:i~tl am~ot~l;or of the (tet:isi()n tree-t)~tse(t e, rror (:orre('tiolL The m:ehite,('ture ('~m t)rovi(te imt)l&amp;quot;ove(t results even with l;he 1)\]u:;~se t)re;~k l)redi{:tor |;h;t|; ha,s l)o{)r inil;i~d t}ert'orm~mee. Moreover, I;he, syslxun (:~m 1)e ttexit)ly t;u, ned t;o new eort)us wil;houl; nmssive rel;r;~ining which is necess~ry in the t)rol}~bilisti(: metho(t.</Paragraph>
    <Paragraph position="1"> As shown in the result, t)erli)rmamce, of the hyt)rid t)hr~se 1)re~k t)redietion is dctermilmd t)y how well the error eorre('|;or (;tin (;Ollll)ellS;~l;e i;he defi(:iencies of the 1)rol)~d)ilistie t)hrase 1)re~k predict;ion.</Paragraph>
    <Paragraph position="2"> The next sl;el) will 1)e to :m~lyze the le~rned de(:ision trees eareflflly I;() exi;r;~(:l; more desir~t)le ti',~tl;ur(', veel;ors. W(', ~re now working 055 in(:orl)or~|;ing this i)hl'~se, break 1)redi('tion 5he|hod into the ext)erimenl;~l Korean 'I?'\]?S sysl;em.</Paragraph>
  </Section>
class="xml-element"></Paper>