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Alexandra Birch

76 papers · 2007–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (18)
🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (8) 🏃 Academic Marathon (18) 🏠 Conference Loyalist (26) 🤝 Dynamic Duo (32) 👥 Mega-Team (46) 🔬 Deep Specialist (32) 🏆 Keyword Champion (4) Prolific Year (6) 🗃️ Keyword Collector (255) 🔥 Unstoppable (10) The Questioner (3) 💎 Century Club (74)

Conferences

EMNLP (26) ACL (22) NAACL (10) EACL (9) COLING (5) ICLR (1) ICML (1) IJCAI (1) IJCNLP (1)

Research topics

Papers

The Prosody of Emojis ACL 2026 Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Question Answering Task EACL 2026 Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations EMNLP 2025 EuroGEST: Investigating gender stereotypes in multilingual language models EMNLP 2025 Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention ACL 2025 Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation EMNLP 2025 Generics are puzzling. Can language models find the missing piece? COLING 2025 The Only Way is Ethics: A Guide to Ethical Research with Large Language Models COLING 2025 No Train but Gain: Language Arithmetic for training-free Language Adapters enhancement COLING 2025 AveniBench: Accessible and Versatile Evaluation of Finance Intelligence COLING 2025 Multilingual Data Filtering using Synthetic Data from Large Language Models EMNLP 2025 Demystifying Multilingual Reasoning in Process Reward Modeling EMNLP 2025 XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation EMNLP 2025 EdinHelsOW WMT 2025 CreoleMT System Description: Improving Lusophone Creole Translation through Data Augmentation, Model Merging and LLM Post-editing EMNLP 2025 When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025 Empowering Multi-step Reasoning across Languages via Program-Aided Language Models EMNLP 2024 The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics NAACL 2024 Exploring Very Low-Resource Translation with LLMs: The University of Edinburgh’s Submission to AmericasNLP 2024 Translation Task NAACL 2024 When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale NAACL 2024 Assessing Factual Reliability of Large Language Model Knowledge NAACL 2024 Retrieval-Augmented Multilingual Knowledge Editing ACL 2024 Document-Level Machine Translation with Large-Scale Public Parallel Corpora ACL 2024 Question Translation Training for Better Multilingual Reasoning ACL 2024 Cache & Distil: Optimising API Calls to Large Language Models ACL 2024 Compact Speech Translation Models via Discrete Speech Units Pretraining ACL 2024 Is Modularity Transferable? A Case Study through the Lens of Knowledge Distillation COLING 2024 Code-Switched Language Identification is Harder Than You Think EACL 2024 Contrastive Decoding Reduces Hallucinations in Large Multilingual Machine Translation Models EACL 2024 Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases EACL 2024 Quality or Quantity? On Data Scale and Diversity in Adapting Large Language Models for Low-Resource Translation EMNLP 2024 Cultural Adaptation of Menus: A Fine-Grained Approach EMNLP 2024 An Open Dataset and Model for Language Identification ACL 2023 Extrinsic Evaluation of Machine Translation Metrics ACL 2023 Prompting Large Language Model for Machine Translation: A Case Study ICML 2023 Multi3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue ACL 2023 Exploring Enhanced Code-Switched Noising for Pretraining in Neural Machine Translation EACL 2023 Code-Switching with Word Senses for Pretraining in Neural Machine Translation EMNLP 2023 Towards Effective Disambiguation for Machine Translation with Large Language Models EMNLP 2023 Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding ACL 2022 Distributionally Robust Recurrent Decoders with Random Network Distillation ACL 2022 Exploring diversity in back translation for low-resource machine translation NAACL 2022 Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems NAACL 2022 Quantifying Synthesis and Fusion and their Impact on Machine Translation NAACL 2022 Few-shot learning through contextual data augmentation EACL 2021 Exploring Unsupervised Pretraining Objectives for Machine Translation ACL 2021 CoPHE: A Count-Preserving Hierarchical Evaluation Metric in Large-Scale Multi-Label Text Classification EMNLP 2021 Cross-lingual Intermediate Fine-tuning improves Dialogue State Tracking EMNLP 2021 The University of Edinburgh’s English-German and English-Hausa Submissions to the WMT21 News Translation Task EMNLP 2021 Exploring Unsupervised Pretraining Objectives for Machine Translation IJCNLP 2021 The University of Edinburgh’s English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task EMNLP 2020 Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations EMNLP 2020 A Latent Morphology Model for Open-Vocabulary Neural Machine Translation ICLR 2020 Towards Making the Most of Context in Neural Machine Translation IJCAI 2020 Findings of the Fourth Workshop on Neural Generation and Translation ACL 2020 Language Model Prior for Low-Resource Neural Machine Translation EMNLP 2020 The University of Edinburgh’s Submissions to the WMT19 News Translation Task ACL 2019 Proceedings of the 3rd Workshop on Neural Generation and Translation EMNLP 2019 Findings of the Third Workshop on Neural Generation and Translation EMNLP 2019 On the Importance of Word Boundaries in Character-level Neural Machine Translation EMNLP 2019 Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting EMNLP 2018 Marian: Fast Neural Machine Translation in C++ ACL 2018 Evaluating Discourse Phenomena in Neural Machine Translation NAACL 2018 Findings of the Second Workshop on Neural Machine Translation and Generation ACL 2018 Proceedings of the 2nd Workshop on Neural Machine Translation and Generation ACL 2018 Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task EMNLP 2018 The SUMMA Platform Prototype EACL 2017 Nematus: a Toolkit for Neural Machine Translation EACL 2017 Improving Neural Machine Translation Models with Monolingual Data ACL 2016 HUME: Human UCCA-Based Evaluation of Machine Translation EMNLP 2016 Controlling Politeness in Neural Machine Translation via Side Constraints NAACL 2016 Neural Machine Translation of Rare Words with Subword Units ACL 2016 Generalizing a Strongly Lexicalized Parser using Unlabeled Data EACL 2014 Soft Dependency Constraints for Reordering in Hierarchical Phrase-Based Translation EMNLP 2011 Reordering Metrics for MT ACL 2011 Predicting Success in Machine Translation EMNLP 2008 Moses: Open Source Toolkit for Statistical Machine Translation ACL 2007