Rico Sennrich

Orcid: 0000-0002-1438-4741

According to our database1, Rico Sennrich authored at least 137 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Linear-time Minimum Bayes Risk Decoding with Reference Aggregation.
CoRR, 2024

Machine Translation Meta Evaluation through Translation Accuracy Challenge Sets.
CoRR, 2024

Modular Adaptation of Multilingual Encoders to Written Swiss German Dialect.
CoRR, 2024

Machine Translation Models are Zero-Shot Detectors of Translation Direction.
CoRR, 2024

Mitigating Hallucinations and Off-target Machine Translation with Source-Contrastive and Language-Contrastive Decoding.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed?
CoRR, 2023

Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models.
CoRR, 2023

Uncertainty in Natural Language Generation: From Theory to Applications.
CoRR, 2023

Towards Unsupervised Recognition of Semantic Differences in Related Documents.
CoRR, 2023

SwissBERT: The Multilingual Language Model for Switzerland.
CoRR, 2023

Trained MT Metrics Learn to Cope with Machine-translated References.
Proceedings of the Eighth Conference on Machine Translation, 2023

A Benchmark for Evaluating Machine Translation Metrics on Dialects without Standard Orthography.
Proceedings of the Eighth Conference on Machine Translation, 2023

A Priority Map for Vision-and-Language Navigation with Trajectory Plans and Feature-Location Cues.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SLTUNET: A Simple Unified Model for Sign Language Translation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Unsupervised Recognition of Token-level Semantic Differences in Related Documents.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Efficient CTC Regularization via Coarse Labels for End-to-End Speech Translation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Self-training Reduces Flicker in Retranslation-based Simultaneous Translation.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

What's the Meaning of Superhuman Performance in Today's NLU?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Uncovering Hidden Consequences of Pre-training Objectives in Sequence-to-Sequence Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving the Cross-Lingual Generalisation in Visual Question Answering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
NusaX: Multilingual Parallel Sentiment Dataset for 10 Indonesian Local Languages.
CoRR, 2022

Distributionally Robust Recurrent Decoders with Random Network Distillation.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

BlonDe: An Automatic Evaluation Metric for Document-level Machine Translation.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Identifying Weaknesses in Machine Translation Metrics Through Minimum Bayes Risk Decoding: A Case Study for COMET.
Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Revisiting End-to-End Speech-to-Text Translation From Scratch.
Proceedings of the International Conference on Machine Learning, 2022

NMTScore: A Multilingual Analysis of Translation-based Text Similarity Measures.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

As Little as Possible, as Much as Necessary: Detecting Over- and Undertranslations with Contrastive Conditioning.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Improving Zero-Shot Cross-lingual Transfer Between Closely Related Languages by Injecting Character-Level Noise.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Revisiting Negation in Neural Machine Translation.
Trans. Assoc. Comput. Linguistics, 2021

Exploring the Importance of Source Text in Automatic Post-Editing for Context-Aware Machine Translation.
Proceedings of the 23rd Nordic Conference on Computational Linguistics, 2021

On Biasing Transformer Attention Towards Monotonicity.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Edinburgh's End-to-End Multilingual Speech Translation System for IWSLT 2021.
Proceedings of the 18th International Conference on Spoken Language Translation, 2021

Share or Not? Learning to Schedule Language-Specific Capacity for Multilingual Translation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Sparse Attention with Linear Units.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Language Modeling, Lexical Translation, Reordering: The Training Process of NMT through the Lens of Classical SMT.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Contrastive Conditioning for Assessing Disambiguation in MT: A Case Study of Distilled Bias.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Wino-X: Multilingual Winograd Schemas for Commonsense Reasoning and Coreference Resolution.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ELITR Multilingual Live Subtitling: Demo and Strategy.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

On the Limits of Minimal Pairs in Contrastive Evaluation.
Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

On Sparsifying Encoder Outputs in Sequence-to-Sequence Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Beyond Sentence-Level End-to-End Speech Translation: Context Helps.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Set of Recommendations for Assessing Human-Machine Parity in Language Translation.
J. Artif. Intell. Res., 2020

The Impact of Text Presentation on Translator Performance.
CoRR, 2020

Fast Interleaved Bidirectional Sequence Generation.
Proceedings of the Fifth Conference on Machine Translation, 2020

Subword Segmentation and a Single Bridge Language Affect Zero-Shot Neural Machine Translation.
Proceedings of the Fifth Conference on Machine Translation, 2020

X -stance: A Multilingual Multi-Target Dataset for Stance Detection.
Proceedings of the 5th Swiss Text Analytics Conference and the 16th Conference on Natural Language Processing, 2020

Removing European Language Barriers with Innovative Machine Translation Technology.
Proceedings of the 1st International Workshop on Language Technology Platforms, 2020

Adaptive Feature Selection for End-to-End Speech Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Zero-Shot Crosslingual Sentence Simplification.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial Attacks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

On Romanization for Model Transfer Between Scripts in Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

ELITR: European Live Translator.
Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2020

Understanding Pure Character-Based Neural Machine Translation: The Case of Translating Finnish into English.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Domain Robustness in Neural Machine Translation.
Proceedings of the 14th Conference of the Association for Machine Translation in the Americas, 2020

Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

On Exposure Bias, Hallucination and Domain Shift in Neural Machine Translation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

In Neural Machine Translation, What Does Transfer Learning Transfer?
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Domain, Translationese and Noise in Synthetic Data for Neural Machine Translation.
CoRR, 2019

Widening the Representation Bottleneck in Neural Machine Translation with Lexical Shortcuts.
Proceedings of the Fourth Conference on Machine Translation, 2019

Understanding Neural Machine Translation by Simplification: The Case of Encoder-free Models.
Proceedings of the International Conference on Recent Advances in Natural Language Processing, 2019

Root Mean Square Layer Normalization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Samsung and University of Edinburgh's System for the IWSLT 2019.
Proceedings of the 16th International Conference on Spoken Language Translation, 2019

Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Context-Aware Monolingual Repair for Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Encoders Help You Disambiguate Word Senses in Neural Machine Translation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Lightweight Recurrent Network for Sequence Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

When a Good Translation is Wrong in Context: Context-Aware Machine Translation Improves on Deixis, Ellipsis, and Lexical Cohesion.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Revisiting Low-Resource Neural Machine Translation: A Case Study.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Evaluating MT for massive open online courses - A multifaceted comparison between PBSMT and NMT systems.
Mach. Transl., 2018

An Analysis of Attention Mechanisms: The Case of Word Sense Disambiguation in Neural Machine Translation.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

The Word Sense Disambiguation Test Suite at WMT18.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

A Large-Scale Test Set for the Evaluation of Context-Aware Pronoun Translation in Neural Machine Translation.
Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

The University of Edinburgh's Submissions to the WMT18 News Translation Task.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Evaluating Discourse Phenomena in Neural Machine Translation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Evaluating Machine Translation Performance on Chinese Idioms with a Blacklist Method.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Improving Machine Translation of Educational Content via Crowdsourcing.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Samsung and University of Edinburgh's System for the IWSLT 2018 Low Resource MT Task.
Proceedings of the 15th International Conference on Spoken Language Translation, 2018

Why Self-Attention? A Targeted Evaluation of Neural Machine Translation Architectures.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Sentence Compression for Arbitrary Languages via Multilingual Pivoting.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Has Machine Translation Achieved Human Parity? A Case for Document-level Evaluation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Context-Aware Neural Machine Translation Learns Anaphora Resolution.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Syntax-aware Neural Machine Translation Using CCG.
CoRR, 2017

Syntax-Based Statistical Machine Translation Philip Williams, Rico Sennrich, Matt Post, Philipp Koehn (University of Edinburgh, University of Edinburgh, Johns Hopkins University, Johns Hopkins University), edited by Graeme Hirst, volume 33), 2016, xvii+190 pp; paperback, ISBN 978-1-62705-900-8; ebook, ISBN 978-1-62705-502-4; doi: 10.2200/S00716ED1V04Y201604HLT033, $70.
Comput. Linguistics, 2017

The University of Edinburgh's Neural MT Systems for WMT17.
Proceedings of the Second Conference on Machine Translation, 2017

Predicting Target Language CCG Supertags Improves Neural Machine Translation.
Proceedings of the Second Conference on Machine Translation, 2017

Improving Word Sense Disambiguation in Neural Machine Translation with Sense Embeddings.
Proceedings of the Second Conference on Machine Translation, 2017

Deep architectures for Neural Machine Translation.
Proceedings of the Second Conference on Machine Translation, 2017

A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators.
Proceedings of Machine Translation Summit XVI, Volume 1: Research Track, 2017

The Samsung and University of Edinburgh's submission to IWSLT17.
Proceedings of the 14th International Conference on Spoken Language Translation, 2017

A Parallel Corpus of Python Functions and Documentation Strings for Automated Code Documentation and Code Generation.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Image Pivoting for Learning Multilingual Multimodal Representations.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Regularization techniques for fine-tuning in neural machine translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Nematus: a Toolkit for Neural Machine Translation.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017


Paraphrasing Revisited with Neural Machine Translation.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017

2016
Syntax-based Statistical Machine Translation
Synthesis Lectures on Human Language Technologies, Morgan & Claypool Publishers, ISBN: 978-3-031-02164-0, 2016

Edinburgh's Statistical Machine Translation Systems for WMT16.
Proceedings of the First Conference on Machine Translation, 2016

Edinburgh Neural Machine Translation Systems for WMT 16.
Proceedings of the First Conference on Machine Translation, 2016

Linguistic Input Features Improve Neural Machine Translation.
Proceedings of the First Conference on Machine Translation, 2016


The AMU-UEDIN Submission to the WMT16 News Translation Task: Attention-based NMT Models as Feature Functions in Phrase-based SMT.
Proceedings of the First Conference on Machine Translation, 2016

Controlling Politeness in Neural Machine Translation via Side Constraints.
Proceedings of the NAACL HLT 2016, 2016

TraMOOC (Translation for Massive Open Online Courses): providing reliable MT for MOOCs.
Proceedings of the 19th Annual Conference of the European Association for Machine Translation: Projects/Products, 2016

Neural Machine Translation of Rare Words with Subword Units.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Improving Neural Machine Translation Models with Monolingual Data.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Modelling and Optimizing on Syntactic N-Grams for Statistical Machine Translation.
Trans. Assoc. Comput. Linguistics, 2015

A tree does not make a well-formed sentence: Improving syntactic string-to-tree statistical machine translation with more linguistic knowledge.
Comput. Speech Lang., 2015

Edinburgh's Syntax-Based Systems at WMT 2015.
Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

A Joint Dependency Model of Morphological and Syntactic Structure for Statistical Machine Translation.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014
Edinburgh's Syntax-Based Systems at WMT 2014.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

EU-BRIDGE MT: Combined Machine Translation.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

A CYK+ Variant for SCFG Decoding Without a Dot Chart.
Proceedings of SSST@EMNLP 2014, 2014

Zmorge: A German Morphological Lexicon Extracted from Wiktionary.
Proceedings of the Ninth International Conference on Language Resources and Evaluation, 2014

Handling technical OOVs in SMT.
Proceedings of the 17th Annual conference of the European Association for Machine Translation, 2014

2013
Exploiting Synergies Between Open Resources for German Dependency Parsing, POS-tagging, and Morphological Analysis.
Proceedings of the Recent Advances in Natural Language Processing, 2013

Promoting Flexible Translations in Statistical Machine Translation.
Proceedings of Machine Translation Summit XIV: Posters, 2013

A Multi-Domain Translation Model Framework for Statistical Machine Translation.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
TerrorCat: a Translation Error Categorization-based MT Quality Metric.
Proceedings of the Seventh Workshop on Statistical Machine Translation, 2012

Mixture-Modeling with Unsupervised Clusters for Domain Adaptation in Statistical Machine Translation.
Proceedings of the 16th Annual conference of the European Association for Machine Translation, 2012

Perplexity Minimization for Translation Model Domain Adaptation in Statistical Machine Translation.
Proceedings of the EACL 2012, 2012

2011
Strategies for Reducing and Correcting OCR Errors.
Proceedings of the Language Technology for Cultural Heritage, 2011

The UZH System Combination System for WMT 2011.
Proceedings of the Sixth Workshop on Statistical Machine Translation, 2011

Disambiguation of English Contractions for Machine Translation of TV Subtitles.
Proceedings of the 18th Nordic Conference of Computational Linguistics, 2011

Iterative, MT-based Sentence Alignment of Parallel Texts.
Proceedings of the 18th Nordic Conference of Computational Linguistics, 2011

Digging for Names in the Mountains: Combined Person Name Recognition and Reference Resolution for German Alpine Texts.
Proceedings of the Human Language Technology Challenges for Computer Science and Linguistics, 2011

Combining Multi-Engine Machine Translation and Online Learning through Dynamic Phrase Tables.
Proceedings of the 15th Annual conference of the European Association for Machine Translation, 2011

2010
Real Anaphora Resolution Is Hard - The Case of German.
Proceedings of the Text, Speech and Dialogue, 13th International Conference, 2010

Anaphora Resolution with Real Preprocessing.
Proceedings of the Advances in Natural Language Processing, 2010

MT-based Sentence Alignment for OCR-generated Parallel Texts.
Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers, 2010


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