Model | There are four basic layers in the generative process: |
Model | Structural Sparsity The first step of the generative process provides a control on the sparsity of edit-operation probabilities, encoding the linguistic intuition that the correct character-level mappings should be sparse. |
Model | Character-edit Distribution The next step in the generative process is drawing a base distribution Go over character edit sequences (each of which yields a bilingual pair of morphemes). |
Introduction | In Section 2 we introduce the probabilistic generative process and show in Sections 2.1 and 2.2 how we incorporate this process in PROMODES and PROMODES-H. We start our experiments with examining the learning behaviour of the algorithms in 31. |
Probabilistic generative model | abilistic generative process consisting of words as observed variables X and their hidden segmentation as latent variables Y. |
Related work | (2002), however, they were interested in finding paradigms as sets of mutual exclusive operations on a word form whereas we are describing a generative process using morpheme boundaries and resulting letter transitions. |