Tianchun Yang

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2016

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Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages
Ramy Eskander | Owen Rambow | Tianchun Yang
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers

We investigate using Adaptor Grammars for unsupervised morphological segmentation. Using six development languages, we investigate in detail different grammars, the use of morphological knowledge from outside sources, and the use of a cascaded architecture. Using cross-validation on our development languages, we propose a system which is language-independent. We show that it outperforms two state-of-the-art systems on 5 out of 6 languages.
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