While we focus on Amharic verb affix segmentation and morphology learning, our goal is a general-purpose ILP morphology learner that automatically segments affixes based on previous knowledge during the learning process.
we seek background knowledge that is plausible across languages that can be combined with language-specific examples and intelligent ways of presenting examples to yield rule hypotheses that generalize to new examples in the language.