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...
Main Authors: | Botha, J, Blunsom, P |
---|---|
Format: | Conference item |
Published: |
Association for Computational Linguistics
2013
|
Similar Items
-
Biases in segmenting non-concatenative morphology
by: Fullwood, Michelle Alison
Published: (2019) -
Compositional Morphology for Word Representations and Language Modelling
by: Botha, J, et al.
Published: (2014) -
Inducing Tree-Substitution Grammars.
by: Cohn, T, et al.
Published: (2010) -
Inducing Tree−Substitution Grammars
by: Cohn, T, et al.
Published: (2010) -
Bayesian Synchronous Grammar Induction.
by: Blunsom, P, et al.
Published: (2008)