Serge Gladkoff

According to our database, Serge Gladkoff authored at least 13 papers between 1984 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Neural machine translation of clinical text: an empirical investigation into multilingual pre-trained language models and transfer-learning.

Lifeng Han, Serge Gladkoff, Gleb Erofeev, Irina Sorokina, Betty Galiano, Goran Nenadic

Frontiers Digit. Health, 2024

MTUncertainty: Assessing the Need for Post-editing of Machine Translation Outputs by Fine-tuning OpenAI LLMs.

Serge Gladkoff, Lifeng Han, Gleb Erofeev, Irina Sorokina, Goran Nenadic

Proceedings of the 25th Annual Conference of the European Association for Machine Translation (Volume 1), 2024

The Multi-Range Theory of Translation Quality Measurement: MQM scoring models and Statistical Quality Control.

Arle Lommel, Serge Gladkoff, Alan K. Melby, Sue Ellen Wright, Ingemar Strandvik, Katerina Gasova, Angelika Vaasa, Andy Benzo, Romina Marazzato Sparano, Monica Foresi, Johani Innis, Lifeng Han, Goran Nenadic

Proceedings of the 16th Conference of the Association for Machine Translation in the Americas, 2024

2023

Predicting Perfect Quality Segments in MT Output with Fine-Tuned OpenAI LLM: Is it possible to capture editing distance patterns from historical data?

Serge Gladkoff, Gleb Erofeev, Lifeng Han, Goran Nenadic

CoRR, 2023

Student's t-Distribution: On Measuring the Inter-Rater Reliability When the Observations are Scarce.

Serge Gladkoff, Lifeng Han, Goran Nenadic

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

Investigating Massive Multilingual Pre-Trained Machine Translation Models for Clinical Domain via Transfer Learning.

Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

Using Massive Multilingual Pre-Trained Language Models Towards Real Zero-Shot Neural Machine Translation in Clinical Domain.

Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic

CoRR, 2022

Examining Large Pre-Trained Language Models for Machine Translation: What You Don't Know about It.

Lifeng Han, Gleb Erofeev, Irina Sorokina, Serge Gladkoff, Goran Nenadic

Proceedings of the Seventh Conference on Machine Translation, 2022

Measuring Uncertainty in Translation Quality Evaluation (TQE).

Serge Gladkoff, Irina Sorokina, Lifeng Han, Alexandra Alekseeva

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

HOPE: A Task-Oriented and Human-Centric Evaluation Framework Using Professional Post-Editing Towards More Effective MT Evaluation.

Serge Gladkoff, Lifeng Han

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

CushLEPOR: Customised hLEPOR Metric Using LABSE Distilled Knowledge Model to Improve Agreement with Human Judgements.

Lifeng Han, Irina Sorokina, Gleb Erofeev, Serge Gladkoff

CoRR, 2021

cushLEPOR: customising hLEPOR metric using Optuna for higher agreement with human judgments or pre-trained language model LaBSE.

Lifeng Han, Irina Sorokina, Gleb Erofeev, Serge Gladkoff

Proceedings of the Sixth Conference on Machine Translation, 2021

1984

AISE: A Prototype Laboratory for Musical Research and the Development of Conceptual Tools.

Stephen McAdams, Serge Gladkoff, Jean-Pierre Keller

Proceedings of the 1984 International Computer Music Conference, 1984