@article{TACL458,
        author = {Karthik Narasimhan and Regina Barzilay and Tommi Jaakkola},
        title = {An Unsupervised Method for Uncovering Morphological Chains},
        journal = {Transactions of the Association for Computational Linguistics},
        volume = {3},
        year = {2015},
        keywords = {},
        abstract = {Most state-of-the-art systems today produce morphological
analysis based only on orthographic patterns. In contrast, we propose a
model for unsupervised morphological analysis that integrates orthographic
and semantic views of words. We model word formation in terms of
morphological chains, from base words to the observed words, breaking the
chains into parent-child relations. We use log-linear models with morpheme
and word-level features to predict possible parents, including their
modifications, for each word. The limited set of candidate parents for each
word render contrastive estimation feasible. Our model consistently matches
or outperforms five state-of-the-art systems on Arabic, English and
Turkish.},
        issn = {2307-387X},
        url =
{https://tacl2013.cs.columbia.edu/ojs/index.php/tacl/article/view/458},
        pages = {157--167}
}