NLPExplorer

Matteo Negri

Number of Papers:- 85

Number of Citations:- 494

First ACL Paper:- 2002

Latest ACL Paper:- 2020

Venues:-

IJCNLP

INLG

MTSummit

VarDial

AMTA

RANLP

TextInfer

EAMT

EACL

LREC

COLING

*SEMEVAL

EMNLP

WMT

NAACL

ACL

IWSLT

Co-Authors:-

Alessio Palmero Aprosio

Similar Authors:-

Is 42 the Answer to Everything in Subtitling-oriented Speech Translation? ACL IWSLT WS

Alina Karakanta | Matteo Negri | Marco Turchi |

FINDINGS OF THE IWSLT 2020 EVALUATION CAMPAIGN ACL IWSLT WS

Gender in Danger? Evaluating Speech Translation Technology on the MuST-SHE Corpus ACL

End-to-End Speech-Translation with Knowledge Distillation: FBK@IWSLT2020 ACL IWSLT WS

Marco Gaido | Mattia A. Di Gangi | Matteo Negri | Marco Turchi |

The Two Shades of Dubbing in Neural Machine Translation COLING

Automatic Translation for Multiple NLP tasks: a Multi-task Approach to Machine-oriented NMT Adaptation EAMT

Amirhossein Tebbifakhr | Matteo Negri | Marco Turchi |

Breeding Gender-aware Direct Speech Translation Systems COLING

Machine-oriented NMT Adaptation for Zero-shot NLP tasks: Comparing the Usefulness of Close and Distant Languages COLING VarDial

Amirhossein Tebbifakhr | Matteo Negri | Marco Turchi |

Proceedings of the Fifth Conference on Machine Translation EMNLP WMT

Findings of the WMT 2020 Shared Task on Automatic Post-Editing EMNLP WMT

Rajen Chatterjee | Markus Freitag | Matteo Negri | Marco Turchi |

MuST-Cinema: a Speech-to-Subtitles corpus LREC

Alina Karakanta | Matteo Negri | Marco Turchi |

On Target Segmentation for Direct Speech Translation AMTA

Mattia A. Di Gangi | Marco Gaido | Matteo Negri | Marco Turchi |

Machine Translation for Machines: the Sentiment Classification Use Case EMNLP

amirhossein tebbifakhr | Luisa Bentivogli | Matteo Negri | Marco Turchi |

MuST-C: a Multilingual Speech Translation Corpus NAACL

Neural Text Simplification in Low-Resource Conditions Using Weak Supervision NAACL WS

Proceedings of the Fourth Conference on Machine Translation (Volume 1: Research Papers) ACL WMT WS

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1) ACL WMT WS

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2) ACL WMT WS

Findings of the WMT 2019 Shared Task on Automatic Post-Editing ACL WMT WS

Rajen Chatterjee | Christian Federmann | Matteo Negri | Marco Turchi |

Effort-Aware Neural Automatic Post-Editing ACL WMT WS

Amirhossein Tebbifakhr | Matteo Negri | Marco Turchi |

Enhancing Transformer for End-to-end Speech-to-Text Translation MTSummit WS

Improving Translations by Combining Fuzzy-Match Repair with Automatic Post-Editing MTSummit WS

John Ortega | Felipe Sánchez-Martínez | Marco Turchi | Matteo Negri |

ESCAPE: a Large-scale Synthetic Corpus for Automatic Post-Editing LREC

Matteo Negri | Marco Turchi | Rajen Chatterjee | Nicola Bertoldi |

Combining Quality Estimation and Automatic Post-editing to Enhance Machine Translation output AMTA WS

Proceedings of the Third Conference on Machine Translation: Research Papers EMNLP WMT WS

Findings of the WMT 2018 Shared Task on Automatic Post-Editing EMNLP WMT WS

Rajen Chatterjee | Matteo Negri | Raphael Rubino | Marco Turchi |

Multi-source transformer with combined losses for automatic post editing EMNLP WMT WS

Amirhossein Tebbifakhr | Ruchit Agrawal | Matteo Negri | Marco Turchi |

Generating E-Commerce Product Titles and Predicting their Quality INLG WS

Online Automatic Post-editing for MT in a Multi-Domain Translation Environment EACL

Rajen Chatterjee | Gebremedhen Gebremelak | Matteo Negri | Marco Turchi |

Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario EACL

Multi-Domain Neural Machine Translation through Unsupervised Adaptation WMT WS

M. Amin Farajian | Marco Turchi | Matteo Negri | Marcello Federico |

Guiding Neural Machine Translation Decoding with External Knowledge WMT WS

Findings of the 2017 Conference on Machine Translation (WMT17) WMT WS

Multi-source Neural Automatic Post-Editing: FBK’s participation in the WMT 2017 APE shared task WMT WS

An Unsupervised Method for Automatic Translation Memory Cleaning ACL

Masoud Jalili Sabet | Matteo Negri | Marco Turchi | Eduard Barbu |

TranscRater: a Tool for Automatic Speech Recognition Quality Estimation ACL

TMop: a Tool for Unsupervised Translation Memory Cleaning ACL

FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings *SEMEVAL

Duygu Ataman | José G. C. de Souza | Marco Turchi | Matteo Negri |

Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers WMT WS

Findings of the 2016 Conference on Machine Translation WMT WS

The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task WMT WS

Rajen Chatterjee | José G. C. de Souza | Matteo Negri | Marco Turchi |

Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances NAACL

Online Multitask Learning for Machine Translation Quality Estimation ACL IJCNLP

José G. C. de Souza | Matteo Negri | Elisa Ricci | Marco Turchi |

Driving ROVER with Segment-based ASR Quality Estimation ACL IJCNLP

Shahab Jalalvand | Matteo Negri | Daniele Falavigna | Marco Turchi |

Exploring the Planet of the APEs: a Comparative Study of State-of-the-art Methods for MT Automatic Post-Editing ACL IJCNLP

Rajen Chatterjee | Marion Weller | Matteo Negri | Marco Turchi |

MT Quality Estimation for Computer-assisted Translation: Does it Really Help? ACL IJCNLP

Marco Turchi | Matteo Negri | Marcello Federico |

Findings of the 2015 Workshop on Statistical Machine Translation WMT WS

The FBK Participation in the WMT15 Automatic Post-editing Shared Task WMT WS

Rajen Chatterjee | Marco Turchi | Matteo Negri |

Machine Translation Quality Estimation Across Domains COLING

José G. C. de Souza | Marco Turchi | Matteo Negri |

Quality Estimation for Automatic Speech Recognition COLING

Matteo Negri | Marco Turchi | José G. C. de Souza | Daniele Falavigna |

THE MATECAT TOOL COLING