---
title: "Dublin City University — works"
description: "48 works by researchers of Dublin City University in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/universities/dublin-city-university/works/"
---
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# Works of Dublin City University

48 works · the most cited first · [← Dublin City University](https://md.research.elamur.ai/free/en/universities/dublin-city-university/)

1. [**Findings of the 2016 Conference on Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2016 · 936 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-findings-2016-conference-machine-translation/)
2. [**Findings of the 2019 Conference on Machine Translation (WMT19)**Loïc Barrault, Ondřej Bojar, Marta R. Costa-jussà, et al.*2019 · 839 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2019-findings-2019-conference-machine-translation/)
3. [**Findings of the 2018 Conference on Machine Translation (WMT18)**Ondřej Bojar, Christian Federmann, Mark Fishel, et al.*2018 · 747 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2018-findings-2018-conference-machine-translation/)
4. [**Findings of the 2017 Conference on Machine Translation (WMT17)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 685 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/)
5. [**Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search**Chris Hokamp, Qun Liu*2017 · 520 citations*](https://md.research.elamur.ai/free/en/papers/hokamp-2017-lexically-constrained-decoding-sequence-generation/)
6. [**Findings of the 2015 Workshop on Statistical Machine Translation**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2015 · 461 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2015-findings-2015-workshop-statistical-machine/)
7. [**Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation**Antonio Toral, Sheila Castilho, Ke Hu, et al.*2018 · 321 citations*](https://md.research.elamur.ai/free/en/papers/toral-2018-attaining-unattainable-reassessing-claims-human/)
8. [**Document-Level Machine Translation with Large Language Models**Longyue Wang, Chenyang Lyu, Tianbo Ji, et al.*2023 · 295 citations*](https://md.research.elamur.ai/free/en/papers/wang-2023-document-level-machine-translation-large/)
9. [**Exploiting Cross-Sentence Context for Neural Machine Translation**Longyue Wang, Zhaopeng Tu, Andy Way, et al.*2017 · 291 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-exploiting-cross-sentence-context-neural/)
10. [**Results of the WMT19 Metrics Shared Task: Segment-Level and Strong MT Systems Pose Big Challenges**Qingsong Ma, Johnny Wei, Ondřej Bojar, et al.*2019 · 283 citations*](https://md.research.elamur.ai/free/en/papers/ma-2019-results-wmt19-metrics-shared-task/)
11. [**Getting Gender Right in Neural Machine Translation**Eva Vanmassenhove, Christian Hardmeier, Andy Way*2018 · 281 citations*](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2018-getting-gender-right-neural-machine/)
12. [**Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages**Djamé Seddah, Reut Tsarfaty, Sandra Kübler, et al.*2013 · 244 citations*](https://md.research.elamur.ai/free/en/papers/seddah-2013-overview-spmrl-2013-shared-task/)
13. [**Results of the WMT17 Metrics Shared Task**Ondřej Bojar, Yvette Graham, Amir Kamran*2017 · 210 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2017-results-wmt17-metrics-shared-task/)
14. [**PET: a Tool for Post-editing and Assessing Machine Translation**Wilker Aziz, Sheila Castilho, Lucia Specia*2012 · 206 citations*](https://md.research.elamur.ai/free/en/papers/aziz-2012-pet-tool-post-editing-assessing/)
15. [**Learning Morphology with Morfette**Grzegorz Chrupala, Georgiana Dinu, Josef van Genabith*2008 · 189 citations*](https://md.research.elamur.ai/free/en/papers/chrupala-2008-learning-morphology-morfette/)
16. [**Adaptive Machine Translation with Large Language Models**Yasmin Moslem, Rejwanul Haque, John D. Kelleher, et al.*2023 · 186 citations*](https://md.research.elamur.ai/free/en/papers/moslem-2023-adaptive-machine-translation-large-language/)
17. [**Investigating Backtranslation in Neural Machine Translation**Alberto Poncelas, Dimitar Shterionov, Andy Way, et al.*2018 · 184 citations*](https://md.research.elamur.ai/free/en/papers/poncelas-2018-investigating-backtranslation-neural-machine-translation/)
18. [**Findings of the WMT24 General Machine Translation Shared Task: The LLM Era Is Here but MT Is Not Solved Yet**Tom Kocmi, Eleftherios Avramidis, Rachel Bawden, et al.*2024 · 177 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-findings-wmt24-general-machine-translation/)
19. [**Results of the WMT16 Metrics Shared Task**Ondřej Bojar, Yvette Graham, Amir Kamran, et al.*2016 · 175 citations*](https://md.research.elamur.ai/free/en/papers/bojar-2016-results-wmt16-metrics-shared-task/)
20. [**The First Surface Realisation Shared Task: Overview and Evaluation Results**Anja Belz, Michael White, Dominic Espinosa, et al.*2011 · 172 citations*](https://md.research.elamur.ai/free/en/papers/belz-2011-first-surface-realisation-shared-task/)
21. [**Results of the WMT18 Metrics Shared Task: Both characters and embeddings achieve good performance**Qingsong Ma, Ondřej Bojar, Yvette Graham*2018 · 164 citations*](https://md.research.elamur.ai/free/en/papers/ma-2018-results-wmt18-metrics-shared-task/)
22. [**Results of WMT23 Metrics Shared Task: Metrics Might Be Guilty but References Are Not Innocent**Markus Freitag, Nitika Mathur, Chi-kiu Lo, et al.*2023 · 155 citations*](https://md.research.elamur.ai/free/en/papers/freitag-2023-results-wmt23-metrics-shared-task/)
23. [**Lost in Translation: Loss and Decay of Linguistic Richness in Machine Translation**Eva Vanmassenhove, Dimitar Shterionov, Andy Way*2019 · 137 citations*](https://md.research.elamur.ai/free/en/papers/vanmassenhove-2019-lost-translation-loss-decay-linguistic/)
24. [**Edition 1.1 of the PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions**Carlos Ramisch, Silvio Ricardo Cordeiro, Agata Savary, et al.*2018 · 124 citations*](https://md.research.elamur.ai/free/en/papers/ramisch-2018-edition-1-1-parseme-shared/)
25. [**"cba to check the spelling": Investigating Parser Performance on Discussion Forum Posts**Jennifer Foster*2010 · 94 citations*](https://md.research.elamur.ai/free/en/papers/foster-2010-cba-check-spelling-investigating-parser/)
26. [**The First Multilingual Surface Realisation Shared Task (SR'18): Overview and Evaluation Results**Simon Mille, Anja Belz, Bernd Bohnet, et al.*2018 · 86 citations*](https://md.research.elamur.ai/free/en/papers/mille-2018-first-multilingual-surface-realisation-shared/)
27. [**Error Span Annotation: A Balanced Approach for Human Evaluation of Machine Translation**Tom Kocmi, Vilém Zouhar, Eleftherios Avramidis, et al.*2024 · 83 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2024-error-span-annotation-balanced-approach/)
28. [**Findings of the WMT25 General Machine Translation Shared Task: Time to Stop Evaluating on Easy Test Sets**Tom Kocmi, Ekaterina Artemova, Eleftherios Avramidis, et al.*2025 · 73 citations*](https://md.research.elamur.ai/free/en/papers/kocmi-2025-findings-wmt25-general-machine-translation/)
29. [**English Machine Reading Comprehension Datasets: A Survey**Daria Dzendzik, Jennifer Foster, Carl Vogel*2021 · 53 citations*](https://md.research.elamur.ai/free/en/papers/dzendzik-2021-english-machine-reading-comprehension-datasets/)
30. [**Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation**Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, et al.*2017 · 46 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2017-linguistic-realisation-as-machine-translation/)
31. [**Adapting a WSJ-Trained Parser to Grammatically Noisy Text**Jennifer Foster, Joachim Wagner, Josef van Genabith*2008 · 45 citations*](https://md.research.elamur.ai/free/en/papers/foster-2008-adapting-wsj-trained-parser-grammatically/)
32. [**An Open-Source Finite State Morphological Transducer for Modern Standard Arabic**Mohammed Attia, Pavel Pecina, Antonio Toral, et al.*2011 · 44 citations*](https://md.research.elamur.ai/free/en/papers/attia-2011-open-source-finite-state-morphological/)
33. [**The Apertium machine translation platform: Five years on**Mikel L. Forcada, Francis M. Tyers, Gema Ramírez-Sánchez*2009 · 30 citations*](https://md.research.elamur.ai/free/en/papers/forcada-2009-apertium-machine-translation-platform-five/)
34. [**Variational Neural Discourse Relation Recognizer**Biao Zhang, Deyi Xiong, Jinsong Su, et al.*2016 · 30 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2016-variational-neural-discourse-relation-recognizer/)
35. [**RED: A Reference Dependency Based MT Evaluation Metric**Hui Yu, Xiaofeng Wu, Jun Xie, et al.*2014 · 28 citations*](https://md.research.elamur.ai/free/en/papers/yu-2014-red-reference-dependency-based-mt/)
36. [**Adapting WSJ-Trained Parsers to the British National Corpus Using In-Domain Self-Training**Jennifer Foster, Joachim Wagner, Djamé Seddah, et al.*2007 · 25 citations*](https://md.research.elamur.ai/free/en/papers/foster-2007-adapting-wsj-trained-parsers-british/)
37. [**Using Word Semantics To Assist English as a Second Language Learners**Mahmoud Azab, Chris Hokamp, Rada Mihalcea*2015 · 22 citations*](https://md.research.elamur.ai/free/en/papers/azab-2015-word-semantics-assist-english-as/)
38. [**Designing a Symbolic Intermediate Representation for Neural Surface Realization**Henry Elder, Jennifer Foster, James Barry, et al.*2019 · 20 citations*](https://md.research.elamur.ai/free/en/papers/elder-2019-designing-symbolic-intermediate-representation-neural/)
39. [**Morphological Features for Parsing Morphologically-rich Languages: A Case of Arabic**Jon Dehdari, Lamia Tounsi, Josef van Genabith*2011 · 19 citations*](https://md.research.elamur.ai/free/en/papers/dehdari-2011-morphological-features-parsing-morphologically-rich/)
40. [**Parser Evaluation and the BNC: Evaluating 4 constituency parsers with 3 metrics**Jennifer Foster, Josef van Genabith*2008 · 18 citations*](https://md.research.elamur.ai/free/en/papers/foster-2008-parser-evaluation-bnc-evaluating-4/)
41. [**The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification**Longyue Wang, Chris Hokamp, Tsuyoshi Okita, et al.*2015 · 18 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-dcu-discourse-parser-connective-argument/)
42. [**Arabic Parsing Using Grammar Transforms**Lamia Tounsi, Josef van Genabith*2010 · 11 citations*](https://md.research.elamur.ai/free/en/papers/tounsi-2010-arabic-parsing-grammar-transforms/)
43. [**The ADAPT Enhanced Dependency Parser at the IWPT 2020 Shared Task**James Barry, Joachim Wagner, Jennifer Foster*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/barry-2020-adapt-enhanced-dependency-parser-iwpt/)
44. [**Syntactic and Semantic Transfer with F-Structures**Michael Dorna, Anette Frank, Josef van Genabith, et al.*1998 · 8 citations*](https://md.research.elamur.ai/free/en/papers/dorna-1998-syntactic-semantic-transfer-f-structures/)
45. [**The DCU-EPFL Enhanced Dependency Parser at the IWPT 2021 Shared Task**James Barry, Alireza Mohammadshahi, Joachim Wagner, et al.*2021 · 4 citations*](https://md.research.elamur.ai/free/en/papers/barry-2021-dcu-epfl-enhanced-dependency-parser/)
46. [**Shape of Synth to Come: Why We Should Use Synthetic Data for English Surface Realization**Henry Elder, Robert Burke, Alexander O'Connor, et al.*2020 · 3 citations*](https://md.research.elamur.ai/free/en/papers/elder-2020-shape-synth-come-why-we/)
47. [**Explicit Fine grained Syntactic and Semantic Annotation of the Idafa Construction in Arabic**Abdelati Hawwari, Mohammed Attia, Mahmoud Ghoneim, et al.*2016 · 2 citations*](https://md.research.elamur.ai/free/en/papers/hawwari-2016-explicit-fine-grained-syntactic-semantic/)
48. [**Quality and Appropriateness of Large Text Datasets for Irish NLP**Abigail Walsh, Mark Andrade, Jane Lauren Adkins, et al.*2026*](https://md.research.elamur.ai/free/en/papers/walsh-2026-quality-appropriateness-large-text-datasets/)
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