These 1000 utterances will be segmented by the model after it has performed inference on its input, without making any further changes to the lexicon that the model has induced.
the model will have to segment each of the test utterances using only the lexicon (and any additional knowledge about co-occurrences, phonotactics, and stress) it has acquired from the training portion of the corpus during inference.