NLPExplorer

IWSLT - 2017

Total Papers:- 21

Total Papers accross all years:- 721

Total Citations :- 0

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Kyoto University MT System Description for IWSLT 2017

Raj Dabre | Fabien Cromieres | Sadao Kurohashi |

CHARCUT: Human-Targeted Character-Based MT Evaluation with Loose Differences

Adrien Lardilleux | Yves Lepage |

The Samsung and University of Edinburgh’s submission to IWSLT17

The RWTH Aachen Machine Translation Systems for IWSLT 2017

Parnia Bahar | Jan Rosendahl | Nick Rossenbach | Hermann Ney |

Toward Robust Neural Machine Translation for Noisy Input Sequences

Matthias Sperber | Jan Niehues | Alex Waibel |

Monolingual Embeddings for Low Resourced Neural Machine Translation

Mattia Antonino Di Gangi | Marcello Federico |

Improving Zero-Shot Translation of Low-Resource Languages

Towards better translation performance on spoken language

Chao Bei | Hao Zong |

Data Selection with Cluster-Based Language Difference Models and Cynical Selection

Lucía Santamaría | Amittai Axelrod |

Continuous Space Reordering Models for Phrase-based MT

Nadir Durrani | Fahim Dalvi |

Synthetic Data for Neural Machine Translation of Spoken-Dialects

Hany Hassan | Mostafa Elaraby | Ahmed Y. Tawfik |

Overview of the IWSLT 2017 Evaluation Campaign

Going beyond zero-shot MT: combining phonological, morphological and semantic factors. The UdS-DFKI System at IWSLT 2017

Cristina España-Bonet | Josef van Genabith |

FBK’s Multilingual Neural Machine Translation System for IWSLT 2017

Neural Machine Translation Training in a Multi-Domain Scenario