NLPExplorer

Roman Grundkiewicz

Number of Papers:- 30

Number of Citations:- 117

First ACL Paper:- 2011

Latest ACL Paper:- 2022

Venues:-

EACL

NAACL

IWSLT

IJCNLP

TACL

WMT

HumEval

ACL

NGT

CoNLL

COLING

EMNLP

Co-Authors:-

Similar Authors:-

evision PDF of 'Findings of the IWSLT 2022 Evaluation Campaign ACL IWSLT

On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs EACL HumEval

Roman Grundkiewicz | Marcin Junczys-Dowmunt | Christian Federmann | Tom Kocmi |

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation EMNLP WMT

Findings of the WMT 2021 Shared Task on Efficient Translation EMNLP WMT

Kenneth Heafield | Qianqian Zhu | Roman Grundkiewicz |

Proceedings of the Sixth Conference on Machine Translation EMNLP WMT

Efficient Machine Translation with Model Pruning and Quantization EMNLP WMT

Findings of the 2021 Conference on Machine Translation (WMT21) EMNLP WMT

Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task ACL NGT WS

A Crash Course in Automatic Grammatical Error Correction COLING

Roman Grundkiewicz | Christopher Bryant | Mariano Felice |

Findings of the 2020 Conference on Machine Translation (WMT20) EMNLP WMT

Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task EMNLP WMT

The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation CoNLL WS

Marcin Junczys-Dowmunt | Roman Grundkiewicz |

How to Distinguish a Kidney Theft from a Death Car? Experiments in Clustering Urban-Legend Texts WS

Roman Grundkiewicz | Filip Graliński |

Roman Grundkiewicz

Number of Papers:- 30

Number of Citations:- 117

First ACL Paper:- 2011

Latest ACL Paper:- 2022

Venues:-

Co-Authors:-

Similar Authors:-

evision PDF of 'Findings of the IWSLT 2022 Evaluation Campaign ACL IWSLT

On User Interfaces for Large-Scale Document-Level Human Evaluation of Machine Translation Outputs EACL HumEval

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation EMNLP WMT

Findings of the WMT 2021 Shared Task on Efficient Translation EMNLP WMT

Proceedings of the Sixth Conference on Machine Translation EMNLP WMT

Efficient Machine Translation with Model Pruning and Quantization EMNLP WMT

Findings of the 2021 Conference on Machine Translation (WMT21) EMNLP WMT

Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task ACL NGT WS

A Crash Course in Automatic Grammatical Error Correction COLING

Findings of the 2020 Conference on Machine Translation (WMT20) EMNLP WMT

Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task EMNLP WMT

Minimally-Augmented Grammatical Error Correction EMNLP WS

From Research to Production and Back: Ludicrously Fast Neural Machine Translation EMNLP WS

Neural Grammatical Error Correction Systems with Unsupervised Pre-training on Synthetic Data ACL WS

The University of Edinburgh’s Submissions to the WMT19 News Translation Task ACL WMT WS

Samsung and University of Edinburgh’s System for the IWSLT 2019 EMNLP IWSLT

Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task NAACL

Near Human-Level Performance in Grammatical Error Correction with Hybrid Machine Translation NAACL

Marian: Fast Neural Machine Translation in C++ ACL

Neural Machine Translation Techniques for Named Entity Transliteration ACL WS

Marian: Cost-effective High-Quality Neural Machine Translation in C++ ACL WS

The University of Edinburgh’s Submissions to the WMT18 News Translation Task EMNLP WMT WS

MS-UEdin Submission to the WMT2018 APE Shared Task: Dual-Source Transformer for Automatic Post-Editing EMNLP WMT WS

An Exploration of Neural Sequence-to-Sequence Architectures for Automatic Post-Editing IJCNLP

Pushing the Limits of Translation Quality Estimation TACL

Phrase-based Machine Translation is State-of-the-Art for Automatic Grammatical Error Correction EMNLP

Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing WMT WS

Human Evaluation of Grammatical Error Correction Systems EMNLP

The AMU System in the CoNLL-2014 Shared Task: Grammatical Error Correction by Data-Intensive and Feature-Rich Statistical Machine Translation CoNLL WS

How to Distinguish a Kidney Theft from a Death Car? Experiments in Clustering Urban-Legend Texts WS