Miriam Exel

22 papers A 1C 4Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits.
EMNLP (Industry Track)
Nathaniel Berger, Johannes Eschbach-Dymanus, Miriam Exel, Matthias Huck, Stefan Riezler
2025 J jnl
Learning to Translate Ambiguous Terminology by Preference Optimization on Post-Edits.
CoRR
Nathaniel Berger, Johannes Eschbach-Dymanus, Miriam Exel, Matthias Huck, Stefan Riezler
2025 J jnl
Quality-Aware Decoding: Unifying Quality Estimation and Decoding.
CoRR
Sai Koneru, Matthias Huck, Miriam Exel, Jan Niehues
2024 — conf
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing.
NAACL-HLT
Sai Koneru, Miriam Exel, Matthias Huck, Jan Niehues
2024 — conf
Exploring the Effectiveness of LLM Domain Adaptation for Business IT Machine Translation.
EAMT (1)
Johannes Eschbach-Dymanus, Frank Essenberger, Bianka Buschbeck, Miriam Exel
2024 — conf
How Effective is Synthetic Data and Instruction Fine-tuning for Translation with Markup using LLMs?
AMTA (1)
Raj Dabre, Haiyue Song, Miriam Exel, Bianka Buschbeck, Johannes Eschbach-Dymanus, Hideki Tanaka
2024 J jnl
Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking Across Diverse Vocabularies.
CoRR
Sai Koneru, Matthias Huck, Miriam Exel, Jan Niehues
2024 — conf
Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking across Diverse Vocabularies.
WMT
Sai Koneru, Matthias Huck, Miriam Exel, Jan Niehues
2024 — conf
Post-edits Are Preferences Too.
WMT
Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck
2024 J jnl
Post-edits Are Preferences Too.
CoRR
Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck
2024 — conf
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation.
EAMT (1)
Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck
2024 J jnl
Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation.
CoRR
Nathaniel Berger, Stefan Riezler, Miriam Exel, Matthias Huck
2023 A conf
Analyzing Challenges in Neural Machine Translation for Software Localization.
EACL
Sai Koneru, Matthias Huck, Miriam Exel, Jan Niehues
2023 J jnl
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing.
CoRR
Sai Koneru, Miriam Exel, Matthias Huck, Jan Niehues
2023 C conf
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training.
EAMT
Nathaniel Berger, Miriam Exel, Matthias Huck, Stefan Riezler
2023 J jnl
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training.
CoRR
Nathaniel Berger, Miriam Exel, Matthias Huck, Stefan Riezler
2022 C conf
"Hi, how can I help you?" Improving Machine Translation of Conversational Content in a Business Context.
EAMT
Bianka Buschbeck, Jennifer Mell, Miriam Exel, Matthias Huck
2022 — conf
A Multilingual Multiway Evaluation Data Set for Structured Document Translation of Asian Languages.
AACL/IJCNLP (Findings)
Bianka Buschbeck, Raj Dabre, Miriam Exel, Matthias Huck, Patrick Huy, Raphael Rubino, Hideki Tanaka
2020 — conf
A Parallel Evaluation Data Set of Software Documentation with Document Structure Annotation.
WAT@AAC/IJCNLPL
Bianka Buschbeck, Miriam Exel
2020 J jnl
A parallel evaluation data set of software documentation with document structure annotation.
CoRR
Bianka Buschbeck, Miriam Exel
2020 C conf
Incorporating External Annotation to improve Named Entity Translation in NMT.
EAMT
Maciej Modrzejewski, Miriam Exel, Bianka Buschbeck, Thanh-Le Ha, Alexander Waibel
2020 C conf
Terminology-Constrained Neural Machine Translation at SAP.
EAMT
Miriam Exel, Bianka Buschbeck, Lauritz Brandt, Simona Doneva