the fields f , the words w are generated independently: 4 where r(k) and f (k) are the record and field responsible for generating word w k , as determined by the segmentation c. The word choice model p w (w | t, v) specifies a distribution over words given the field type t and field value v. This distribution is a mixture of a global backoff distribution over words and a field-specific distribution which depends on the field type t. Although we designed our word choice model to be relatively general, it is undoubtedly influenced by the three domains.
we can readily extend or replace it with an alternative if desired; this modularity is one principal benefit of probabilistic modeling.