Combining Machine Learning and rule-based approaches in Spanish and Japanese sentence realizatio

In this paper we describe two parallel experiments on the integration of machine learning (ML) methods into the Spanish and Japanese rule-based sentence realization modules developed at Microsoft Research. The paper explores the use of decision trees (DT) for the lexical selection of the copula in Spanish and the insertion of a locative postposition in Japanese. We show that it is possible to machine-learn the contexts for these two non-trivial linguistic phenomena with high accuracy.

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TypeInproceedings
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