A monolingual tree-based translation model for sentence simplification
|A monolingual tree-based translation model for sentence simplification|
|Author(s)||Zhu Z., Bernhard D., Gurevych I.|
|Published in||Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference|
|Keyword(s)||Unknown (Extra: Baseline systems, Complex sentences, Data sets, Special forms, Translation models, Tree-based, Wikipedia, Computational linguistics, Plant extracts, Translation (languages))|
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A monolingual tree-based translation model for sentence simplification is a 2010 conference paper written in English by Zhu Z., Bernhard D., Gurevych I. and published in Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference.
In this paper, we consider sentence simplification as a special form of translation with the complex sentence as the source and the simple sentence as the target. We propose a Tree-based Simplification Model (TSM), which, to our knowledge, is the first statistical simplification model covering splitting, dropping, reordering and substitution integrally. We also describe an efficient method to train our model with a large-scale parallel dataset obtained from the Wikipedia and Simple Wikipedia. The evaluation shows that our model achieves better readability scores than a set of baseline systems.
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