---
title: "Ireland — works"
description: "Works of Ireland: 84 in our library, the most cited first."
canonical: "https://research.elamur.ai/free/en/countries/ireland/works/"
---
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# Works of Ireland

84 · the most cited first · [← Ireland](https://md.research.elamur.ai/free/en/countries/ireland/)

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. [**Benchmarking Aggression Identification in Social Media**Ritesh Kumar, Atul Kr. Ojha, Shervin Malmasi, et al.*2018 · 507 citations*](https://md.research.elamur.ai/free/en/papers/kumar-2018-benchmarking-aggression-identification-social-media/)
7. [**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/)
8. [**Findings of the 2020 Conference on Machine Translation (WMT20)**Loïc Barrault, Magdalena Biesialska, Ondřej Bojar, et al.*2020 · 401 citations*](https://md.research.elamur.ai/free/en/papers/barrault-2020-findings-2020-conference-machine-translation/)
9. [**On the Limitations of Unsupervised Bilingual Dictionary Induction**Anders Søgaard, Sebastian Ruder, Ivan Vulić*2018 · 396 citations*](https://md.research.elamur.ai/free/en/papers/sogaard-2018-limitations-unsupervised-bilingual-dictionary-induction/)
10. [**Fracking Sarcasm using Neural Network**Aniruddha Ghosh, Tony Veale*2016 · 350 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2016-fracking-sarcasm-neural-network/)
11. [**Participatory Research for Low-resourced Machine Translation: A Case Study in African Languages**Wilhelmina Nekoto, Vukosi Marivate, Tshinondiwa Matsila, et al.*2020 · 333 citations*](https://md.research.elamur.ai/free/en/papers/nekoto-2020-participatory-research-low-resourced-machine/)
12. [**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/)
13. [**Computational Argumentation Quality Assessment in Natural Language**Henning Wachsmuth, Nona Naderi, Yufang Hou, et al.*2017 · 306 citations*](https://md.research.elamur.ai/free/en/papers/wachsmuth-2017-computational-argumentation-quality-assessment-natural/)
14. [**Show Me Your Evidence - an Automatic Method for Context Dependent Evidence Detection**Ruty Rinott, Lena Dankin, Carlos Alzate Perez, et al.*2015 · 296 citations*](https://md.research.elamur.ai/free/en/papers/rinott-2015-show-me-your-evidence-automatic/)
15. [**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/)
16. [**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/)
17. [**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/)
18. [**Diachronic word embeddings and semantic shifts: a survey**Andrey Kutuzov, Lilja Øvrelid, Terrence Szymanski, et al.*2018 · 282 citations*](https://md.research.elamur.ai/free/en/papers/kutuzov-2018-diachronic-word-embeddings-semantic-shifts/)
19. [**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/)
20. [**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/)
21. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/)
22. [**Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text**Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini, et al.*2020 · 234 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-corpus-creation-sentiment-analysis-code/)
23. [**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/)
24. [**Re-evaluating Automatic Summarization with BLEU and 192 Shades of ROUGE**Yvette Graham*2015 · 208 citations*](https://md.research.elamur.ai/free/en/papers/graham-2015-re-evaluating-automatic-summarization-bleu/)
25. [**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/)
26. [**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/)
27. [**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/)
28. [**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/)
29. [**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/)
30. [**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/)
31. [**Magnets for Sarcasm: Making Sarcasm Detection Timely, Contextual and Very Personal**Aniruddha Ghosh, Tony Veale*2017 · 174 citations*](https://md.research.elamur.ai/free/en/papers/ghosh-2017-magnets-sarcasm-making-sarcasm-detection/)
32. [**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/)
33. [**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/)
34. [**A Sentiment Analysis Dataset for Code-Mixed Malayalam-English**Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi, et al.*2020 · 158 citations*](https://md.research.elamur.ai/free/en/papers/chakravarthi-2020-sentiment-analysis-dataset-code-mixed/)
35. [**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/)
36. [**Accurate Evaluation of Segment-level Machine Translation Metrics**Yvette Graham, Timothy Baldwin, Nitika Mathur*2015 · 155 citations*](https://md.research.elamur.ai/free/en/papers/graham-2015-accurate-evaluation-segment-level-machine/)
37. [**FINDINGS OF THE IWSLT 2023 EVALUATION CAMPAIGN**Milind Agarwal, Sweta Agrawal, Antonios Anastasopoulos, et al.*2023 · 153 citations*](https://md.research.elamur.ai/free/en/papers/agarwal-2023-findings-iwslt-2023-evaluation-campaign/)
38. [**Statistical Power and Translationese in Machine Translation Evaluation**Yvette Graham, Barry Haddow, Philipp Koehn*2020 · 150 citations*](https://md.research.elamur.ai/free/en/papers/graham-2020-statistical-power-translationese-machine-translation/)
39. [**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/)
40. [**Fantastic Questions and Where to Find Them: FairytaleQA – An Authentic Dataset for Narrative Comprehension**Ying Xu, Dakuo Wang, Mo Yu, et al.*2022 · 136 citations*](https://md.research.elamur.ai/free/en/papers/xu-2022-fantastic-questions-where-find-them/)
41. [**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/)
42. [**CILI: the Collaborative Interlingual Index**Francis Bond, Piek Vossen, John P. McCrae, et al.*2016 · 109 citations*](https://md.research.elamur.ai/free/en/papers/bond-2016-cili-collaborative-interlingual-index/)
43. [**"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/)
44. [**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/)
45. [**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/)
46. [**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/)
47. [**Unrestricted Bridging Resolution**Yufang Hou, Katja Markert, Michael Strube*2018 · 65 citations*](https://md.research.elamur.ai/free/en/papers/hou-2018-unrestricted-bridging-resolution/)
48. [**English WordNet 2019 – An Open-Source WordNet for English**John P. McCrae, Alexandre Rademaker, Francis Bond*2019 · 55 citations*](https://md.research.elamur.ai/free/en/papers/mccrae-2019-english-wordnet/)
49. [**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/)
50. [**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/)
51. [**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/)
52. [**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/)
53. [**A Deterministic Algorithm for Bridging Anaphora Resolution**Yufang Hou*2018 · 32 citations*](https://md.research.elamur.ai/free/en/papers/hou-2018-deterministic-algorithm-bridging-anaphora-resolution/)
54. [**Enhanced Word Representations for Bridging Anaphora Resolution**Yufang Hou*2018 · 32 citations*](https://md.research.elamur.ai/free/en/papers/hou-2018-enhanced-word-representations-bridging-anaphora/)
55. [**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/)
56. [**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/)
57. [**The ISO Standard for Dialogue Act Annotation, Second Edition**Harry Bunt, Volha Petukhova, Emer Gilmartin, et al.*2020 · 29 citations*](https://md.research.elamur.ai/free/en/papers/bunt-2020-iso-standard-dialogue-act-annotation/)
58. [**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/)
59. [**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/)
60. [**Tree-distance and some other variants of evalb**Martin Emms*2008 · 24 citations*](https://md.research.elamur.ai/free/en/papers/emms-2008-tree-distance-some-other-variants/)
61. [**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/)
62. [**Parsing Ungrammatical Input: An Evaluation Procedure**Jennifer Foster*2004 · 22 citations*](https://md.research.elamur.ai/free/en/papers/foster-2004-parsing-ungrammatical-input-evaluation-procedure/)
63. [**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/)
64. [**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/)
65. [**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/)
66. [**The Third Multilingual Surface Realisation Shared Task (SR'20): Overview and Evaluation Results**Simon Mille, Anya Belz, Bernd Bohnet, et al.*2020 · 18 citations*](https://md.research.elamur.ai/free/en/papers/mille-2020-third-multilingual-surface-realisation-shared/)
67. [**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/)
68. [**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/)
69. [**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/)
70. [**Fine-grained Information Status Classification Using Discourse Context-Aware BERT**Yufang Hou*2020 · 9 citations*](https://md.research.elamur.ai/free/en/papers/hou-2020-fine-grained-information-status-classification/)
71. [**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/)
72. [**Production of Demonstratives in Dutch, English and Portuguese Dialogues**Saturnino Luz, Ielka van der Sluis*2011 · 7 citations*](https://md.research.elamur.ai/free/en/papers/luz-2011-production-demonstratives-dutch-english-portuguese/)
73. [**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/)
74. [**Advancing Arabic Sentiment Analysis: ArSen Benchmark and the Improved Fuzzy Deep Hybrid Network**Yang Fang, Cheng Xu, Shuhao Guan, et al.*2024 · 4 citations*](https://md.research.elamur.ai/free/en/papers/fang-2024-advancing-arabic-sentiment-analysis-arsen/)
75. [**Towards the Construction of a WordNet for Old English**Anas Fahad Khan, Francisco J. Minaya Gómez, Rafael Cruz González, et al.*2022 · 4 citations*](https://md.research.elamur.ai/free/en/papers/khan-2022-construction-wordnet-old-english/)
76. [**Adapting Psycholinguistic Research for LLMs: Gender-inclusive Language in a Coreference Context**Marion Bartl, Thomas Brendan Murphy, Susan Leavy*2025 · 3 citations*](https://md.research.elamur.ai/free/en/papers/bartl-2025-adapting-psycholinguistic-research-llms-gender/)
77. [**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/)
78. [**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/)
79. [**Some Considerations in the Construction of a Historical Language WordNet**Anas Fahad Khan, John P. McCrae, Francisco Javier Minaya Gómez, et al.*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/khan-2023-some-considerations-construction-historical-language/)
80. [**A Survey of Qualitative Error Analysis for Neural Machine Translation Systems**Denise Díaz, James Cross, Vishrav Chaudhary, et al.*2020*](https://md.research.elamur.ai/free/en/papers/diaz-2020-survey-qualitative-error-analysis-neural/)
81. [**Open English NameNet: Extending English Wordnet with Names**John P. McCrae*2026*](https://md.research.elamur.ai/free/en/papers/mccrae-2026-open-english-namenet/)
82. [**Gaze Behaviour & Conversation Unfolding in the HCRC Map Task Corpus**Anaïs Claire Murat, Carl Vogel*2026*](https://md.research.elamur.ai/free/en/papers/murat-2026-gaze-behaviour-conversation-unfolding-hcrc/)
83. [**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/)
84. [**Cook, Edward. Biblical Aramaic and Related Dialects: An Introduction. Cambridge University Press, 2022**Kyle Young*2025*](https://md.research.elamur.ai/free/en/papers/young-2025-cook-edward-biblical-aramaic-related/)
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