Unsupervised Morphological Analysis by Formal Analogy
While classical approaches to unsupervised morphology acquisition often rely on metrics based on information theory for identifying morphemes, we describe a novel approach relying on the notion of . A formal analogy is a relation between four forms, such as: reader is to doer as reading is to doing....
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Published in | Multilingual Information Access Evaluation I. Text Retrieval Experiments pp. 617 - 624 |
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Main Authors | , |
Format | Book Chapter |
Language | English |
Published |
Berlin, Heidelberg
Springer Berlin Heidelberg
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Series | Lecture Notes in Computer Science |
Online Access | Get full text |
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Summary: | While classical approaches to unsupervised morphology acquisition often rely on metrics based on information theory for identifying morphemes, we describe a novel approach relying on the notion of . A formal analogy is a relation between four forms, such as: reader is to doer as reading is to doing. Our assumption is that formal analogies identify pairs of morphologically related words. We first describe an approach which simply identifies all the formal analogies involving words in a lexicon. Despite its promising results, this approach is computationally too expensive. Therefore, we designed a more practical system which learns morphological structures using only a (small) subset of all formal analogies. We tested those two approaches on the five languages used in Morpho Challenge 2009. |
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ISBN: | 9783642157530 364215753X |
ISSN: | 0302-9743 1611-3349 |
DOI: | 10.1007/978-3-642-15754-7_74 |