NLPExplorer

A Maximum Entropy Approach to Combining Word Alignments

Necip Fazil Ayan | Bonnie J. Dorr |

Month: June
Year: 2006
Location: New York City, USA
Venue: HLT | NAACL |

Tera-Scale Translation Models via Pattern Matching
Adam Lopez |

Improving Word Alignment with Bridge Languages
Shankar Kumar | Franz J. Och | Wolfgang Macherey |

Getting the Structure Right for Word Alignment: LEAF
Alexander Fraser | Daniel Marcu |

Combining Unsupervised and Supervised Alignments for MT: An Empirical Study
Jinxi Xu | Antti-Veikko Rosti |

Discriminative Word Alignment by Linear Modeling
Yang Liu | Qun Liu | Shouxun Lin |

Diversify and Combine: Improving Word Alignment for Machine Translation on Low-Resource Languages
Bing Xiang | Yonggang Deng | Bowen Zhou |

Improving Word Alignment by Semi-Supervised Ensemble
Shujian Huang | Kangxi Li | Xinyu Dai | Jiajun Chen |

Tagging Machine Translation

Unsupervised Learning

Chinese English Arabic

A Survey of Arabic Named Entity Recognition and Classification

Khaled Shaalan |

One-Shot Neural Cross-Lingual Transfer for Paradigm Completion

Katharina Kann | Ryan Cotterell | Hinrich Schütze |

Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP

Edoardo Maria Ponti | Roi Reichart | Anna Korhonen | Ivan Vulić |

Knowledge-Rich Morphological Priors for Bayesian Language Models

Victor Chahuneau | Noah A. Smith | Chris Dyer |

A Comparative Study of Minimally Supervised Morphological Segmentation