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Creutz Mathias

Cromm Oliver

Dasgupta Sajib

Eguchi Paul K

Flenner Gudrun

Harald Hammarström

Lars Borin

Mikheev Andrei

Computational Linguistics

Hammarström, H.

Borin, L.

NARCIS 

Unsupervised Learning of Morphology

Hammarstr\uf6m, Harald

Borin, Lars

Chalmers Research

Unsupervised learning of morphology

 This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised Learning of Morphology as the problem of inducing a description (of some kind, even if only morpheme-segmentation) of how orthographic words are built up given only raw text data of a language. We briefly go through the history and motivation of the this problem. Next, over 200 items of work are listed with a brief characterization, and the most important ideas in the field are critically discussed. We summarize the achievements so far and give pointers for future developments. </jats:p

Crossref

This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised Learning of Morphology as the problem of inducing a description (of some kind, even if only morpheme segmentation) of how orthographic words are built up given only raw text data of a language. We briefly go through the history and motivation of this problem. Next, over 200 items of work are listed with a brief characterization, and the most important ideas in the field are critically discussed. We summarize the achievements so far and give pointers for future developments

MPG.PuRe

English

Radboud Repository

Unsupervised Learning of Morphology

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Chalmers Research

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Radboud Repository

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