Count-based state merging for probabilistic regular tree grammars
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We present an approach to obtain language models from a tree corpus using probabilistic regular tree grammars (prtg). Starting with a prtg only generating trees from the corpus, the prtg is generalized step by step by merging nonterminals. We focus on bottom-up deterministic prtg to simplify the calculations.
Dietze , T & Nederhof , M J 2015 , Count-based state merging for probabilistic regular tree grammars . in Proceedings of the 12th International Conference on Finite State Methods and Natural Language Processing . Association for Computational Linguistics , Duesseldorf, Germany , The 12th International Conference on Finite-State Methods and Natural Language Processing , Düsseldorf , Germany , 22-24 June .conference
Proceedings of the 12th International Conference on Finite State Methods and Natural Language Processing
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