NLPExplorer

Refined Lexicon Models for Statistical Machine Translation using a Maximum Entropy Approach

Ismael García-Varea | Franz J. Och | Hermann Ney | Francisco Casacuberta |

Month: July
Year: 2001
Location: Toulouse, France
Venue: ACL |

Improving Alignment Quality in Statistical Machine Translation Using Context-dependent Maximum Entropy Models
Ismael García Varea | Franz J. Och | Hermann Ney | Francisco Casacuberta |

A Maximum Entropy-based Word Sense Disambiguation System
Armando Suárez | Manuel Palomar |

Improving Statistical Machine Translation Using Word Sense Disambiguation
Marine Carpuat | Dekai Wu |

Extending Statistical Machine Translation with Discriminative and Trigger-Based Lexicon Models
Arne Mauser | Saša Hasan | Hermann Ney |

Using POS Information for SMT into Morphologically Rich Languages
Nicola Ueffing | Hermann Ney |

The Alignment Template Approach to Statistical Machine Translation
Franz Josef Och | Hermann Ney |

Evaluation of Context-Dependent Phrasal Translation Lexicons for Statistical Machine Translation
Marine Carpuat | Dekai Wu |

Comparison of Extended Lexicon Models in Search and Rescoring for SMT
Saša Hasan | Hermann Ney |

Machine Translation

English

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Hai Zhao | Yan Song | Chunyu Kit | Guodong Zhou |

Arne Mauser | Saša Hasan | Hermann Ney |

Integrating Graph-Based and Transition-Based Dependency Parsers

Joakim Nivre | Ryan McDonald |

A treebank-based study on the influence of Italian word order on parsing performance

Anita Alicante | Cristina Bosco | Anna Corazza | Alberto Lavelli |

Improving Arabic-Chinese Statistical Machine Translation using English as Pivot Language

Nizar Habash | Jun Hu |