NLPExplorer

Semi-Supervised Learning of Concatenative Morphology

Oskar Kohonen | Sami Virpioja | Krista Lagus |

Paper Details:

Month: July
Year: 2010
Location: Uppsala, Sweden
Venue: SIGMORPHON | WS |
SIG: SIGMORPHON

Citations

URL

Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology
Stig-Arne Grönroos | Sami Virpioja | Peter Smit | Mikko Kurimo |

Morfessor 2.0: Toolkit for statistical morphological segmentation
Peter Smit | Sami Virpioja | Stig-Arne Grönroos | Mikko Kurimo |

Painless Semi-Supervised Morphological Segmentation using Conditional Random Fields
Teemu Ruokolainen | Oskar Kohonen | Sami Virpioja | Mikko Kurimo |

Minimally-Supervised Morphological Segmentation using Adaptor Grammars
Kairit Sirts | Sharon Goldwater |

Supervised Morphological Segmentation in a Low-Resource Learning Setting using Conditional Random Fields
Teemu Ruokolainen | Oskar Kohonen | Sami Virpioja | Mikko Kurimo |

Improving Coverage of an Inuktitut Morphological Analyzer Using a Segmental Recurrent Neural Network
Jeffrey Micher |

http://www

Field Of Study

Linguistic Trends

Morphology

Task

Machine Translation Word Segmentation

Approach

Bayesian Model Generative Model Semi-supervised Learning Unsupervised Learning

Language

Multilingual Chinese English Arabic

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