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Vivien Macketanz

15 papers · 2017–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (12) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ”¬ Deep Specialist (14) πŸ‘₯ Mega-Team Β· Legion 🀝 Dynamic Duo (13) πŸ† Keyword Champion (2) 🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (53) πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze ❓ The Questioner

Venues

EMNLP (10) ACL (3) CoNLL (1) NAACL (1)

Top co-authors

Eleftherios Avramidis (13) Sebastian MΓΆller (9) Shushen Manakhimova (7) Sergei Bagdasarov (3) Ekaterina Lapshinova-Koltunski (3) Hans Uszkoreit (3) Aljoscha Burchardt (3) Georg Rehm (2) Ursula Strohriegel (2) Babak Naderi (1)

Research topics

Natural Language Processing (15) Applications (14) Machine Learning (6) Learning Types (6) Resources & Methods (4) Interdisciplinary (3) Linguistics (3) Understanding (3) Artificial Intelligence (2) Core AI (2)

Keywords

machine translation (10) neural machine translation (6) linguistic analysis (5) large language model (4) evaluation metric (4) test suite (4) linguistic evaluation (4) translation quality (3) machine translation metrics (2) challenge set (2) fine-grained evaluation (2) linguistic phenomenon (2) human evaluation (1) continual pre-training (1) dependency parsing (1) perceptual quality (1) universal dependencies (1) learning curve (1) shared task (1) instruction tuning (1)

Papers

Investigating the Linguistic Performance of Large Language Models in Machine Translation EMNLP 2024 Machine Translation Metrics Are Better in Evaluating Linguistic Errors on LLMs than on Encoder-Decoder Systems EMNLP 2024 Occiglot at WMT24: European Open-source Large Language Models Evaluated on Translation EMNLP 2024 Challenging the State-of-the-art Machine Translation Metrics from a Linguistic Perspective EMNLP 2023 Linguistically Motivated Evaluation of the 2023 State-of-the-art Machine Translation: Can ChatGPT Outperform NMT? EMNLP 2023 Linguistically Motivated Evaluation of Machine Translation Metrics Based on a Challenge Set EMNLP 2022 Linguistically Motivated Evaluation of the 2022 State-of-the-art Machine Translation Systems for Three Language Directions EMNLP 2022 Perceptual Quality Dimensions of Machine-Generated Text with a Focus on Machine Translation ACL 2022 Linguistic Evaluation for the 2021 State-of-the-art Machine Translation Systems for German to English and English to German EMNLP 2021 Observing the Learning Curve of NMT Systems With Regard to Linguistic Phenomena ACL 2021 Fine-grained linguistic evaluation for state-of-the-art Machine Translation EMNLP 2020 Linguistic Evaluation of German-English Machine Translation Using a Test Suite ACL 2019 Train, Sort, Explain: Learning to Diagnose Translation Models NAACL 2019 Fine-grained evaluation of German-English Machine Translation based on a Test Suite EMNLP 2018 CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies CoNLL 2017