Corpus ID: 6645042

A Language-Independent Unsupervised Model for Morphological Segmentation

@inproceedings{Demberg2007ALU,
  title={A Language-Independent Unsupervised Model for Morphological Segmentation},
  author={V. Demberg},
  booktitle={ACL},
  year={2007}
}
Morphological segmentation has been shown to be beneficial to a range of NLP tasks such as machine translation, speech recognition, speech synthesis and information retrieval. Recently, a number of approaches to unsupervised morphological segmentation have been proposed. This paper describes an algorithm that draws from previous approaches and combines them into a simple model for morphological segmentation that outperforms other approaches on English and German, and also yields good results on… Expand
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