Miriam Exel

According to our database, Miriam Exel authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking across Diverse Vocabularies.

Sai Koneru, Matthias Huck, Miriam Exel, Jan Niehues

Proceedings of the Ninth Conference on Machine Translation, 2024

Post-edits Are Preferences Too.

Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck

Proceedings of the Ninth Conference on Machine Translation, 2024

Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing.

Sai Koneru, Miriam Exel, Matthias Huck, Jan Niehues

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Exploring the Effectiveness of LLM Domain Adaptation for Business IT Machine Translation.

Johannes Eschbach-Dymanus, Frank Essenberger, Bianka Buschbeck, Miriam Exel

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

Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation.

Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck

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

How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs?

Raj Dabre, Haiyue Song, Miriam Exel, Bianka Buschbeck, Johannes Eschbach-Dymanus, Hideki Tanaka

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

2023

Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training.

Nathaniel Berger, Miriam Exel, Matthias Huck, Stefan Riezler

Proceedings of the 24th Annual Conference of the European Association for Machine Translation, 2023

Analyzing Challenges in Neural Machine Translation for Software Localization.

Sai Koneru, Matthias Huck, Miriam Exel, Jan Niehues

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

A Multilingual Multiway Evaluation Data Set for Structured Document Translation of Asian Languages.

Bianka Buschbeck, Raj Dabre, Miriam Exel, Matthias Huck, Patrick Huy, Raphael Rubino, Hideki Tanaka

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

"Hi, how can I help you?" Improving Machine Translation of Conversational Content in a Business Context.

Bianka Buschbeck, Jennifer Mell, Miriam Exel, Matthias Huck

Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, 2022

2020

Incorporating External Annotation to improve Named Entity Translation in NMT.

Maciej Modrzejewski, Miriam Exel, Bianka Buschbeck, Thanh-Le Ha, Alexander Waibel

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

Terminology-Constrained Neural Machine Translation at SAP.

Miriam Exel, Bianka Buschbeck, Lauritz Brandt, Simona Doneva

Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation.

Bianka Buschbeck, Miriam Exel

Proceedings of the 7th Workshop on Asian Translation, 2020