← Authors

Alexandra Birch

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

Achievements

🌍 Conference Polyglot (9) 🗺️ Taxonomy Completionist (96) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 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 (21) NAACL (10) EACL (9) COLING (5) ICLR (1) ICML (1) IJCAI (1) IJCNLP (1)

Top co-authors

Barry Haddow (33) Rico Sennrich (8) Kenneth Heafield (7) Vivek Iyer (7) Pinzhen Chen (7) Mateusz Klimaszewski (6) Yusuke Oda (5) Andrew Finch (5) Weixuan Wang (5) Graham Neubig (5)

Research topics

Linguistics (1)

Keywords

neural machine translation (19) machine translation (13) large language model (13) cross-lingual transfer (7) multilingual model (6) language model (6) low-resource language (6) data augmentation (6) transfer learning (5) knowledge distillation (5) text generation (4) text classification (4) in-context learning (4) model compression (4) efficient translation (4) named entity recognition (3) retrieval-augmented generation (3) multilingual reasoning (3) zero-shot learning (3) multilingual nlp (3)

Papers

Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Question Answering Task EACL 2026
Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations EMNLP 2025
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025
EuroGEST: Investigating gender stereotypes in multilingual language models EMNLP 2025
Liaozhai through the Looking-Glass: On Paratextual Explicitation of Culture-Bound Terms in Machine Translation EMNLP 2025
Multilingual Data Filtering using Synthetic Data from Large Language Models EMNLP 2025
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention ACL 2025
Demystifying Multilingual Reasoning in Process Reward Modeling 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
XL-Suite: Cross-Lingual Synthetic Training and Evaluation Data for Open-Ended Generation EMNLP 2025
AveniBench: Accessible and Versatile Evaluation of Finance Intelligence COLING 2025
EdinHelsOW WMT 2025 CreoleMT System Description: Improving Lusophone Creole Translation through Data Augmentation, Model Merging and LLM Post-editing EMNLP 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
Multi3NLU++: A Multilingual, Multi-Intent, Multi-Domain Dataset for Natural Language Understanding in Task-Oriented Dialogue ACL 2023
Prompting Large Language Model for Machine Translation: A Case Study ICML 2023
An Open Dataset and Model for Language Identification ACL 2023
Extrinsic Evaluation of Machine Translation Metrics ACL 2023
Exploring Enhanced Code-Switched Noising for Pretraining in Neural Machine Translation EACL 2023
Towards Effective Disambiguation for Machine Translation with Large Language Models EMNLP 2023
Code-Switching with Word Senses for Pretraining in Neural Machine Translation EMNLP 2023
Distributionally Robust Recurrent Decoders with Random Network Distillation ACL 2022
Exploring diversity in back translation for low-resource machine translation NAACL 2022
Horses to Zebras: Ontology-Guided Data Augmentation and Synthesis for ICD-9 Coding ACL 2022
Quantifying Synthesis and Fusion and their Impact on Machine Translation NAACL 2022
Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems NAACL 2022
Exploring Unsupervised Pretraining Objectives for Machine Translation ACL 2021
Few-shot learning through contextual data augmentation EACL 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
A Latent Morphology Model for Open-Vocabulary Neural Machine Translation ICLR 2020
Bridging Linguistic Typology and Multilingual Machine Translation with Multi-View Language Representations EMNLP 2020
Language Model Prior for Low-Resource Neural Machine Translation EMNLP 2020
The University of Edinburgh’s English-Tamil and English-Inuktitut Submissions to the WMT20 News Translation Task EMNLP 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
Findings of the Third Workshop on Neural Generation and Translation EMNLP 2019
Proceedings of the 3rd Workshop on Neural Generation and Translation EMNLP 2019
The University of Edinburgh’s Submissions to the WMT19 News Translation Task ACL 2019
On the Importance of Word Boundaries in Character-level Neural Machine Translation EMNLP 2019
Evaluating Discourse Phenomena in Neural Machine Translation NAACL 2018
Exploring gap filling as a cheaper alternative to reading comprehension questionnaires when evaluating machine translation for gisting EMNLP 2018
Samsung and University of Edinburgh’s System for the IWSLT 2018 Low Resource MT Task EMNLP 2018
Marian: Fast Neural Machine Translation in C++ ACL 2018
Proceedings of the 2nd Workshop on Neural Machine Translation and Generation ACL 2018
Findings of the Second Workshop on Neural Machine Translation and Generation ACL 2018
Nematus: a Toolkit for Neural Machine Translation EACL 2017
The SUMMA Platform Prototype 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
Reordering Metrics for MT ACL 2011
Soft Dependency Constraints for Reordering in Hierarchical Phrase-Based Translation EMNLP 2011
Predicting Success in Machine Translation EMNLP 2008
Moses: Open Source Toolkit for Statistical Machine Translation ACL 2007