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D-Index & Metrics

Computer Science

D-Index
52
Citations
8448
World Ranking
5167
National Ranking
16

Overview

Andy Way is affiliated with Dublin City University in Ireland and specializes in computer science, with a primary focus on artificial intelligence. Their research extends into several related subfields including computer vision and pattern recognition, language and linguistics, information systems, and human-computer interaction.

The scientist's scholarly output centers around natural language processing techniques and includes extensive work on topic modeling, text readability and simplification, multimodal machine learning applications, software engineering research, speech and dialogue systems, and translation studies and practices.

The following are some of the recent papers authored or co-authored by Andy Way:

  • A review of the state-of-the-art in automatic post-editing, 2020, Machine Translation
  • Adaptive Machine Translation with Large Language Models, 2023, arXiv (Cornell University)
  • Neural machine translation of low-resource languages using SMT phrase pair injection, 2020, Natural Language Engineering
  • Improving English-to-Indian Language Neural Machine Translation Systems, 2022, Information
  • Knowledge Distillation: A Method for Making Neural Machine Translation More Efficient, 2022, Information

Andy Way has collaborated frequently with a number of co-authors including Rejwanul Haque, Séamus Lankford, Alberto Poncelas, Haithem Afli, and Georg Rehm. These collaborations reflect a network of research partnership within the field of machine translation and language technologies.

The venues in which they most often publish include:

  • arXiv (Cornell University)
  • Machine Translation
  • Information
  • Natural Language Engineering
  • Digital

In addition to journal publications, Andy Way has contributed to academic books published by Springer Nature, Springer Science+Business Media, and Bloomsbury Publishing plc. Notable titles include European Language Equality published in 2023 and the book Machine Translation published in 2020, as well as Web and Digital for Graphic Designers from 2020.

Best Publications

  • Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation

    Antonio Toral;Sheila Castilho;Ke Hu;Andy Way

  • Getting Gender Right in Neural Machine Translation

    Eva Vanmassenhove;Christian Hardmeier;Andy Way

  • Exploiting Cross-Sentence Context for Neural Machine Translation

    Longyue Wang;Zhaopeng Tu;Andy Way;Qun Liu

  • Is Neural Machine Translation the New State of the Art

    Sheila Castilho;Joss Moorkens;Federico Gaspari;Iacer Calixto

  • Recent Advances in Example-Based Machine Translation

    Michael Carl;Andy Way;Walter Daelemans

  • Long-Distance Dependency Resolution in Automatically Acquired Wide-Coverage PCFG-Based LFG Approximations

    Aoife Cahill;Michael Burke;Ruth O'Donovan;Josef Van Genabith

  • Investigating Backtranslation in Neural Machine Translation

    Alberto Poncelas;Dimitar Sht. Shterionov;Andy Way;Gideon Maillette de Buy Wenniger

  • Post-editing effort of a novel with statistical and neural machine translation

    Antonio Toral;Martijn Wieling;Andrew Way

  • Quality expectations of machine translation

    Andy Way

  • Bridging SMT and TM with Translation Recommendation

    Yifan He;Yanjun Ma;Josef van Genabith;Andy Way

  • Supertagged Phrase-Based Statistical Machine Translation

    Hany Hassan;Khalil Sima'an;Andy Way

  • An Example-Based Approach to Translating Sign Language

    Sara Morrissey;Andy Way

  • Proceedings of the 17th Annual Conference of the European Association for Machine Translation

    Marko Tadić;Philipp Koehn;Johann Roturier;Andy Way

  • A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators

    Sheila Castilho;Joss Moorkens;Federico Gaspari;Rico Sennrich

  • Statistical Machine Translation: A Guide for Linguists and Translators

    Mary Hearne;Andy Way

  • What Level of Quality Can Neural Machine Translation Attain on Literary Text

    Antonio Toral;Andy Way

  • Translators’ perceptions of literary post-editing using statistical and neural machine translation

    Joss Moorkens;Antonio Toral;Sheila Castilho;Andy Way

  • Multi-Level Structured Self-Attentions for Distantly Supervised Relation Extraction

    Jinhua Du;Jingguang Han;Andy Way;Dadong Wan

  • Robust large-scale EBMT with marker-based segmentation

    Nano Gough;Andy Way

  • Wide-coverage deep statistical parsing using automatic dependency structure annotation

    Aoife Cahill;Michael Burke;Ruth O'Donovan;Stefan Riezler

  • Post-editing effort of a novel with statistical and neural machinetranslation

    Antonio Toral;Martijn Wieling;Andy Way

  • Attaining the unattainable? Reassessing claimsof human parity in neural machine translation

    Antonio Toral;Sheila Castilho;Ke Hu;Andy Way

  • A comparative quality evaluation of PBSMT andNMT using professional translators

    Sheila Castilho;Joss Moorkens;Federico Gaspari;Rico Sennrich

Frequent Co-Authors

Josef van Genabith
Josef van Genabith Saarland University
Qun Liu
Qun Liu Huawei Technologies (China)
Zhaopeng Tu
Zhaopeng Tu Tencent (China)
Antal van den Bosch
Antal van den Bosch Radboud University
Rico Sennrich
Rico Sennrich University of Zurich
Pushpak Bhattacharyya
Pushpak Bhattacharyya Indian Institute of Technology Patna
Asif Ekbal
Asif Ekbal Indian Institute of Technology Patna
Hermann Ney
Hermann Ney RWTH Aachen University
Hang Li
Hang Li ByteDance
Walter Daelemans
Walter Daelemans University of Antwerp

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