We can see that the word "badminton" is aligned incorrectly with word ">™Ž(Taufik)" .
in the LCS data, we see that " >™ Ž(Taufik)" and "badminton" appear in the same sentence ">™Ž badminton x³ (Taufik plays badminton so well)" and by adding the blocked constraint into the alignment model, it correctly learns that " >™Ž(Taufik)" should be aligned with something else, and it finds "Taufik" at end.