Ryuta Kambe, Naoki Kobayashi, Ryosuke Sato, Ayumi Shinohara and Ryo Yoshinaka
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Link to the paper: here
Abstract: We propose an inside-outside algorithm for stochastic macro grammars. Our approach is based on types, which has been inspired by type-based approaches to reasoning about functional programs and higher-order grammars. By considering type derivations instead of ordinary word derivation sequences, we can naturally extend the standard inside-outside algorithm for stochastic context-free grammars to obtain the algorithm for stochastic macro
grammars. We have implemented the algorithm and confirmed its effectiveness through an application to the learning of macro grammars.
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