With a more accurate model, however, we found <cite>(Moore, 2014</cite> ) that while Ratnaparkhi's tag dictionary decreased the average number of tags per token from 45 to 3.7 on the current standard WSJ development set, it also decreased per-tag accuracy from 97.31% to 97.19%.