Adaptor Grammars for Learning Non−Concatenative Morphology
This paper contributes an approach for expressing non-concatenative morphological phenomena, such as stem derivation in Semitic languages, in terms of a mildly context-sensitive grammar formalism. This offers a convenient level of modelling abstraction while remaining computationally tractable. The...
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Format: | Conference item |
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Association for Computational Linguistics
2013
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