This article presents an overview of existing ILP and non-ILP approaches to word morphology learning, and sets targets for future research. The article claims that new challenges to the ILP community with more appeal to computational linguists should be sought in a whole new range of unexplored learning tasks in which ILP would have to make a more extensive use of relevant linguistic knowledge, and be more closely integrated with other learning techniques for data preprocessing.
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