NLPExplorer

Dimitar Shterionov

Number of Papers:- 17

Number of Citations:- 0

First ACL Paper:- 2016

Latest ACL Paper:- 2022

Venues:-

RANLP

EAMT

LREC

LChange

EMNLP

EACL

CLSSTS

ACL

MTSummit

AMTA

WMT

Co-Authors:-

Similar Authors:-

“Vaderland”, “Volk” and “Natie”: Semantic Change Related to Nationalism in Dutch Literature Between 1700 and 1880 Captured with Dynamic Bernoulli Word Embeddings ACL LChange

Marije Timmermans | Eva Vanmassenhove | Dimitar Shterionov |

A Quality Estimation and Quality Evaluation Tool for the Translation Industry EAMT

Elena Murgolo | Javad Pourmostafa Roshan Sharami | Dimitar Shterionov |

Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project EAMT

Machine Translationese: Effects of Algorithmic Bias on Linguistic Complexity in Machine Translation EACL

Eva Vanmassenhove | Dimitar Shterionov | Matthew Gwilliam |

NeuTral Rewriter: A Rule-Based and Neural Approach to Automatic Rewriting into Gender Neutral Alternatives EMNLP

Eva Vanmassenhove | Chris Emmery | Dimitar Shterionov |

Proceedings of the 1st International Workshop on Automatic Translation for Signed and Spoken Languages (AT4SSL) MTSummit

Dimitar Shterionov |

Defining meaningful units. Challenges in sign segmentation and segment-meaning mapping (short paper) MTSummit

Selecting Backtranslated Data from Multiple Sources for Improved Neural Machine Translation ACL

Xabier Soto | Dimitar Shterionov | Alberto Poncelas | Andy Way |

An Investigative Study of Multi-Modal Cross-Lingual Retrieval CLSSTS LREC WS

APE through Neural and Statistical MT with Augmented Data. ADAPT/DCU Submission to the WMT 2019 APE Shared Task ACL WMT WS

Dimitar Shterionov | Joachim Wagner | Félix do Carmo |

Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation MTSummit WS

Eva Vanmassenhove | Dimitar Shterionov | Andy Way |

Proceedings of Machine Translation Summit XVII Volume 2: Translator, Project and User Tracks MTSummit WS

When less is more in Neural Quality Estimation of Machine Translation. An industry case study MTSummit WS

Proceedings of the Second Workshop on Multilingualism at the Intersection of Knowledge Bases and Machine Translation WS

Combining PBSMT and NMT Back-translated Data for Efficient NMT RANLP

Divide and Conquer Strategy for Large Data MT AMTA

Dimitar Shterionov |

Improving KantanMT Training Efficiency with fast_align AMTA