2. The method of claim 1 , comprising: determining, by the one or more computers, a second ranking of the speech recognition candidates in the subset of the speech recognition candidates, the second ranking being based on the scores generated from the outputs of the trained machine learning classifier; determining, by the one or more computers, a quantity of alternative transcriptions for the utterance to provide for display, the quantity of alternative transcriptions being fewer than all of the speech recognition candidates for the utterance; wherein providing the subset of speech recognition candidates comprises (i) providing a subset of the speech recognition candidates having the determined quantity of speech recognition candidates and (ii) providing data indicating the second ranking of the speech recognition candidates in the subset of the speech recognition candidates.
2. The method of claim 1 , comprising: determining, by the one or more computers, a second ranking of the speech recognition candidates in the subset of the speech recognition candidates, the second ranking being based on the scores generated from the outputs of the trained machine learning classifier; determining, by the one or more computers, a quantity of alternative transcriptions for the utterance to provide for display, the quantity of alternative transcriptions being fewer than all of the speech recognition candidates for the utterance; wherein providing the subset of speech recognition candidates comprises (i) providing a subset of the speech recognition candidates having the determined quantity of speech recognition candidates and (ii) providing data indicating the second ranking of the speech recognition candidates in the subset of the speech recognition candidates. 3. The method of claim 2 , wherein the utterance is a first utterance; and wherein the method comprises, after providing the transcription and the subset of speech recognition candidates for the utterance, providing a transcription for a second utterance and a set of alternative transcriptions for the second utterance, wherein the set of alternative transcriptions for the second utterance is different from the quantity determined for the first utterance, and wherein the quantity of alternative transcriptions for the second utterance is less than a quantity of speech recognition candidates determined for the second utterance.