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Learning Constraint Subhierarchies: The Bidirectional Gradual Learning Algorithm

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Optimality Theory and Pragmatics

Part of the book series: Palgrave Studies in Pragmatics, Language and Cognition ((PSPLC))

Abstract

It is a common feature of many case marking languages that some, but not all objects are case marked.1 However, it is usually not entirely random which objects are marked and which aren’t. Rather, case marking only applies to a morphologically or semantically well-defined class of NPs. Take Hebrew as an example. In this language, definite objects carry an accusative morpheme while indefinite objects are unmarked.

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© 2004 Palgrave Macmillan, a division of Macmillan Publishers Limited

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Jäger, G. (2004). Learning Constraint Subhierarchies: The Bidirectional Gradual Learning Algorithm. In: Blutner, R., Zeevat, H. (eds) Optimality Theory and Pragmatics. Palgrave Studies in Pragmatics, Language and Cognition. Palgrave Macmillan, London. https://doi.org/10.1057/9780230501409_11

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