Before revision:  The model explicitly models the structure with a one-step look-ahead parser and maintains the conditional probability setting of the standard language model . Experiments show that SOM can achieve strong results in language modeling  and syntactic generalization tests, while using fewer parameters then other models.
After revision:  The model explicitly models the structure with a one-step look-ahead parser and maintains the conditional probability setting of the standard language model (left-to-right). To train the incremental parser and avoid exposure bias, we also propose a novel dynamic oracle, so that SOM is more robust to wrong parsing decisions. Experiments show that SOM can achieve strong results in language modeling and syntactic generalization tests, while using fewer parameters then other models.