BAGEL's granularity is defined by the semantic annotation in the training data, rather than external linguistic knowledge about what constitutes a unit of meaning; namely, contiguous words belonging to the same semantic stack are modeled as an atomic observation unit or phrase.
2 with word-level language models, a major advantage of phrase-based generation models is that they can model long-range dependencies and domain-specific idiomatic phrases with fewer parameters.