NLPExplorer

IWSLT - 2019

Total Papers:- 33

Total Papers accross all years:- 721

Total Citations :- 0

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Analysis of Positional Encodings for Neural Machine Translation

Jan Rosendahl | Viet Anh Khoa Tran | Weiyue Wang | Hermann Ney |

The IWSLT 2019 Evaluation Campaign

Using Whole Document Context in Neural Machine Translation

Valentin Macé | Christophe Servan |

Harnessing Indirect Training Data for End-to-End Automatic Speech Translation: Tricks of the Trade

Controlling the Output Length of Neural Machine Translation

Surafel Melaku Lakew | Mattia Di Gangi | Marcello Federico |

The IWSLT 2019 KIT Speech Translation System

KIT’s Submission to the IWSLT 2019 Shared Task on Text Translation

Felix Schneider | Alex Waibel |

CMU’s Machine Translation System for IWSLT 2019

Tejas Srinivasan | Ramon Sanabria | Florian Metze |

Controlling Utterance Length in NMT-based Word Segmentation with Attention

Pierre Godard | Laurent Besacier | François Yvon |

Generic and Specialized Word Embeddings for Multi-Domain Machine Translation

MinhQuang Pham | Josep Crego | François Yvon | Jean Senellart |

Transformer-based Cascaded Multimodal Speech Translation

ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper

Estimating post-editing effort: a study on human judgements, task-based and reference-based metrics of MT quality

Scarton Scarton | Mikel L. Forcada | Miquel Esplà-Gomis | Lucia Specia |

The LIG system for the English-Czech Text Translation Task of IWSLT 2019

Domain Adaptation of Document-Level NMT in IWSLT19

Martin Popel | Christian Federmann |