1. A computer-implemented method of scoring non-native speech, comprising: receiving a speech sample spoken by a non-native speaker; performing automatic speech recognition and metric extraction on the speech sample to generate a transcript of the speech sample and a speech metric associated with the speech sample; determining whether the speech sample is scorable or non-scorable based upon the transcript and the speech metric, wherein said determining is based on at least one of audio quality of the speech sample, an amount of speech of the speech sample, a degree to which the speech sample is off-topic, whether the speech sample includes speech from an incorrect language, and whether the speech sample includes plagiarized material; associating an indication of non-scorability with the speech sample when the sample is determined to be non-scorable; and providing the sample to a scoring model for scoring when the sample is determined to be scorable.