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We introduce finite-state registered automata (FSRAs), a new computational device within the framework of finite-state technology, specifically tailored for implementing non-concate...
Computational morphology would be an almost trivial exercise if every language were like English. Here, chopp-ing off the occasion-al affix-es, of which there are not too many, is suffic...
Unsupervised Learning of the Morphology of a Natural Language     Unsupervised Learning  Natural Language       font style='font-size:12px;'> 2015/8/26
This study reports the results of using minimum description length (MDL) analysis to model unsupervised learning of the morphological segmentation of European languages, using corpora ranging in size ...
This paper presents a computational model for nonlinear morphology with illustrations from Syriac and Arabic. The model is a multitiered one in that it allows for multiple lexical representations cor...
This paper investigates the ability of a connectionist attractor network to learn a system analogous to part of the system of English verbal morphology. The model learned to produce phonological repre...
A Short History of Two-Level Morphology     Two-Level Morphology       font style='font-size:12px;'> 2015/6/18
Twenty years ago morphological analysis of natural language was a challenge to computational linguists. Simple cut-and-paste programs could be and were written to analyze strings in particular languag...
Morphology in Creole genesis: Linguistics and ideology     Morphology  Creole genesis  Linguistics   ideology       font style='font-size:12px;'> 2014/11/18
Morphology in Creole genesis: Linguistics and ideology
Learning non-concatenative morphology     Learning  non-concatenative morphology       font style='font-size:12px;'> 2014/9/4
Recent work in computational psycholinguistics shows that morpheme lexica can be acquired in an unsupervised manner from a corpus of words by selecting the lexicon that best balances productivity and ...

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