Applications such as language modelling for speech recognition and EM procedures for estimating from hidden data either explicitly or implicitly require marginal distributions over the visible data (i.e., word strings), so it is not statistically sound to use MCLEs for such applications.
applications which involve predicting the value of the hidden variable from the visible variable (such as tagging or parsing) usually only involve the conditional distribution, which the MCLE estimates directly.