Unsupervised Multilingual Learning for Morphological Segmentation
@inproceedings{Snyder2008UnsupervisedML, title={Unsupervised Multilingual Learning for Morphological Segmentation}, author={B. Snyder and R. Barzilay}, booktitle={ACL}, year={2008} }
For centuries, the deep connection between languages has brought about major discoveries about human communication. In this paper we investigate how this powerful source of information can be exploited for unsupervised language learning. In particular, we study the task of morphological segmentation of multiple languages. We present a nonparametric Bayesian model that jointly induces morpheme segmentations of each language under consideration and at the same time identifies cross-lingual… CONTINUE READING
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References
SHOWING 1-10 OF 30 REFERENCES
Unsupervised Learning of the Morphology of a Natural Language
- Computer Science
- Computational Linguistics
- 2001
- 796
- PDF
An Unsupervised Morpheme-Based HMM for Hebrew Morphological Disambiguation
- Computer Science
- ACL
- 2006
- 70
- PDF
A Cross-language Approach to Rapid Creation of New Morpho-syntactically Annotated Resources
- Computer Science
- LREC
- 2006
- 36
- PDF
Unsupervised Part-of-Speech Acquisition for Resource-Scarce Languages
- Computer Science
- EMNLP-CoNLL
- 2007
- 27
- PDF
A Backoff Model for Bootstrapping Resources for Non-English Languages
- Computer Science
- HLT/EMNLP
- 2005
- 49
- PDF