NLPExplorer

Method of Selecting Training Data to Build a Compact and Efficient Translation Model

Keiji Yasuda | Ruiqiang Zhang | Hirofumi Yamamoto | Eiichiro Sumita |

Paper Details:

Year: 2008

Venue: IJCNLP |

Citations

URL

Domain Adaptation via Pseudo In-Domain Data Selection
Amittai Axelrod | Xiaodong He | Jianfeng Gao |

Dynamic Data Selection for Neural Machine Translation
Marlies van der Wees | Arianna Bisazza | Christof Monz |

Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation
Rico Sennrich |

Semi-supervised Convolutional Networks for Translation Adaptation with Tiny Amount of In-domain Data
Boxing Chen | Fei Huang |

Adaptation Data Selection using Neural Language Models: Experiments in Machine Translation
Kevin Duh | Graham Neubig | Katsuhito Sudoh | Hajime Tsukada |

Are BLEU and Meaning Representation in Opposition?
Ondřej Cífka | Ondřej Bojar |

Analysing the Effect of Out-of-Domain Data on SMT Systems
Barry Haddow | Philipp Koehn |

Dramatically Reducing Training Data Size Through Vocabulary Saturation
William Lewis | Sauleh Eetemadi |

Alibaba Submission to the WMT18 Parallel Corpus Filtering Task
Jun Lu | Xiaoyu Lv | Yangbin Shi | Boxing Chen |

Field Of Study

Task

Tagging Machine Translation

Language

Chinese English

Similar Papers

From Raw Text to Universal Dependencies - Look, No Tags!

One-Shot Neural Cross-Lingual Transfer for Paradigm Completion

Katharina Kann | Ryan Cotterell | Hinrich Schütze |

Knowledge-Rich Morphological Priors for Bayesian Language Models

Victor Chahuneau | Noah A. Smith | Chris Dyer |

Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP

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

A Comparative Study of Minimally Supervised Morphological Segmentation