This paper presents a new machine-learning Chinese word segmentation (CWS) approach, which defines CWS as a break-point classifi- cation problem; the break point is the bound- ary of two subsequent words. Further, this paper exploits a support vecto
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function minimumNumber ( numbers ) {
const arrPrimes = [ 1 ] ;
nextPrime:
for ( let i = 2 ; i <= 41000 ; i ++ ) {
for ( let j = 2 ; j a + b , 0 ) ;
arrPr
