Github user etrain commented on a diff in the pull request:

    https://github.com/apache/spark/pull/476#discussion_r12126271
  
    --- Diff: mllib/src/main/scala/org/apache/spark/mllib/util/MLUtils.scala ---
    @@ -20,15 +20,17 @@ package org.apache.spark.mllib.util
     import scala.reflect.ClassTag
     
     import breeze.linalg.{Vector => BV, SparseVector => BSV, squaredDistance 
=> breezeSquaredDistance}
    +import breeze.util.Index
    +import chalk.text.tokenize.JavaWordTokenizer
    --- End diff --
    
    I think chalk for tokenization is probably a fine choice for starters - but 
can you say what it buys us over regular scala StringTokenizer?


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