NLPExplorer

Eleftherios Avramidis

Number of Papers:- 59

Number of Citations:- 69

First ACL Paper:- 2008

Latest ACL Paper:- 2025

Venues:-

IWSLT

NAACL

IJCNLP

COLING

ICON

EMNLP

WMT

ACL

SLTAT

LREC

EAMT

DMTW

MTSummit

Co-Authors:-

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Francisco Zamora Martinez

Jorge Antonio Leoni De Leon

Josep Angel Mas

Mara Chinea Rios1

Josu Landa

Sign Language Video Segmentation Using Temporal Boundary Identification ACL WS

Kavu Maithri Rao | Yasser Hamidullah | Eleftherios Avramidis |

Findings of the WMT25 Multilingual Instruction Shared Task: Persistent Hurdles in Reasoning, Generation, and Evaluation WMT

Findings of the WMT25 Shared Task on Automated Translation Evaluation Systems: Linguistic Diversity is Challenging and References Still Help WMT

Fine-Grained Evaluation of English-Russian MT in 2025: Linguistic Challenges Mirroring Human Translator Training WMT

Shushen Manakhimova | Maria Kunilovskaya | Ekaterina Lapshinova-Koltunski | Eleftherios Avramidis |

Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets WMT

Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems WMT

Eleftherios Avramidis | Shushen Manakhimova | Vivien Macketanz | Sebastian Möller |

Investigating the Linguistic Performance of Large Language Models in Machine Translation WMT

Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation WMT

Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation WMT

Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task WMT

Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet WMT

Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT? WMT

Findings of the 2023 Conference on Machine Translation (WMT23): LLMs Are Here but Not Quite There Yet WMT

Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent WMT

Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective WMT

Eleftherios Avramidis | Shushen Manakhimova | Vivien Macketanz | Sebastian Möller |

Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23) WMT

Neural Machine Translation Methods for Translating Text to Sign Language Glosses ACL

Dele Zhu | Vera Czehmann | Eleftherios Avramidis |

Using Neural Machine Translation Methods for Sign Language Translation ACL

Galina Angelova | Eleftherios Avramidis | Sebastian Möller |

Fine-tuning of Convolutional Neural Networks for the Recognition of Facial Expressions in Sign Language Video Samples LREC SLTAT

Neha Deshpande | Fabrizio Nunnari | Eleftherios Avramidis |

A Linguistically Motivated Test Suite to Semi-Automatically Evaluate German–English Machine Translation Output LREC

Findings of the First WMT Shared Task on Sign Language Translation (WMT-SLT22) WMT

Results of WMT22 Metrics Shared Task: Stop Using BLEU – Neural Metrics Are Better and More Robust WMT

Linguistically Motivated Evaluation of Machine Translation Metrics Based on a Challenge Set WMT

Eleftherios Avramidis | Vivien Macketanz |

Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions WMT

Experimental Machine Translation of the Swiss German Sign Language via 3D Augmentation of Body Keypoints WMT

Lorenz Hufe | Eleftherios Avramidis |

Automatic generation of a 3D sign language avatar on AR glasses given 2D videos of human signers MTSummit

Lan Thao Nguyen | Florian Schicktanz | Aeneas Stankowski | Eleftherios Avramidis |

Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena ACL IJCNLP

Patrick Stadler | Vivien Macketanz | Eleftherios Avramidis |

Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to German EMNLP WMT

Vivien Macketanz | Eleftherios Avramidis | Shushen Manakhimova | Sebastian Möller |

Fine-grained linguistic evaluation for state-of-the-art Machine Translation EMNLP WMT

Train, Sort, Explain: Learning to Diagnose Translation Models NAACL

Linguistic Evaluation of German-English Machine Translation Using a Test Suite ACL WMT WS

Eleftherios Avramidis | Vivien Macketanz | Ursula Strohriegel | Hans Uszkoreit |

Fine-grained evaluation of Quality Estimation for Machine translation based on a linguistically motivated Test Suite WS

Eleftherios Avramidis | Vivien Macketanz | Arle Lommel | Hans Uszkoreit |

Fine-grained evaluation of German-English Machine Translation based on a Test Suite EMNLP WMT WS

Vivien Macketanz | Eleftherios Avramidis | Aljoscha Burchardt | Hans Uszkoreit |

Sentence-level quality estimation by predicting HTER as a multi-component metric WMT WS

Eleftherios Avramidis |

Tools and Guidelines for Principled Machine Translation Development LREC

DFKI’s system for WMT16 IT-domain task, including analysis of systematic errors WMT WS

Eleftherios Avramidis | Aljoscha Burchardt | Vivien Macketanz | Ankit Srivastava |

Deeper Machine Translation and Evaluation for German WS

DFKI’s experimental hybrid MT system for WMT 2015 WMT WS

Eleftherios Avramidis | Maja Popović | Aljoscha Burchardt |

Poor man’s lemmatisation for automatic error classification EAMT WS

Towards Deeper MT - A Hybrid System for German DMTW WS

Eleftherios Avramidis | Aljoscha Burchardt | Maja Popović | Hans Uszkoreit |

Poor man’s lemmatisation for automatic error classification EAMT

Maja Popovic | Mihael Arcan | Eleftherios Avramidis | Aljoscha Burchardt |

The taraXÜ corpus of human-annotated machine translations LREC

Efforts on Machine Learning over Human-mediated Translation Edit Rate WMT WS

Eleftherios Avramidis |

Correlating decoding events with errors in Statistical Machine Translation ICON WS

Eleftherios Avramidis | Maja Popović |

Using a new analytic measure for the annotation and analysis of MT errors on real data EAMT

Relations between different types of post-editing operations, cognitive effort and temporal effort EAMT

Selecting Feature Sets for Comparative and Time-Oriented Quality Estimation of Machine Translation Output WMT WS

Eleftherios Avramidis | Maja Popović |

What can we learn about the selection mechanism for post-editing? MTSummit

Learning from Human Judgments of Machine Translation Output MTSummit

A CCG-based Quality Estimation Metric for Statistical Machine Translation Learning from Human Judgments of Machine Translation Output MTSummit