Corpus ID: 61862827

Unsupervised Learning of Morphology and the Languages of the World

@inproceedings{Hammarstrm2009UnsupervisedLO,
  title={Unsupervised Learning of Morphology and the Languages of the World},
  author={H. Hammarstr{\"o}m},
  year={2009}
}
This thesis presents work in two areas; Language Technology and Linguistic Typology. In the field of Language Technology, a specific problem is addressed: Can a computer extract a description of word conjugation in a natural language using only written text in the language? The problem is often referred to as Unsupervised Learning of Morphology and has a variety of applications, including Machine Translation, Document Categorization and Information Retrieval. The problem is also relevant for… Expand
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References

SHOWING 1-10 OF 698 REFERENCES
Computer-Aided Philology and Algorithmic Linguistics: A Case Study
...
1
2
3
4
5
...