Unsupervised Acquiring of Morphological Paradigms from Tokenized Text

Author:

Zeman Daniel

Publisher

Springer Berlin Heidelberg

Reference6 articles.

1. Déjean, H.: Morphemes as Necessary Concepts for Structures Discovery from Untagged Corpora. In: Worksh. on Paradigms and Grounding in Nat. Lang. Learning, pp. 295–299 (1998)

2. Keshava, S., Pitler, E.: A Simple, Intuitive Approach to Morpheme Induction. In: PASCAL Challenge Works. on Unsup. Segm. of Words into Morphemes, Southampton (2006)

3. Dasgupta, S., Ng, V.: High-Performance, Language-Independent Morphological Segmentation. In: Proc. of NAACL HLT, Rochester, pp. 155–163 (2007)

4. Creutz, M.: Unsupervised Segmentation of Words Using Prior Distributions of Morph Length and Frequency. In: Proc. of ACL, Sapporo (2003)

5. Koskenniemi, K.: Two-level Morphology: A General Computational Model for Word-form Recognition and Production. Pub. No. 11. U. of Helsinki, Dept. of Gen. Ling (1983)

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1. Unsupervised Learning of Morphology;Computational Linguistics;2011-06

2. Unsupervised Morphological Analysis Using Tries;Computer and Information Sciences II;2011

3. Using Unsupervised Paradigm Acquisition for Prefixes;Lecture Notes in Computer Science;2009

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