Andy Way mostly deals with Artificial intelligence, Natural language processing, Machine translation, Speech recognition and Translation. His biological study deals with issues like Machine learning, which deal with fields such as Relationship extraction and Mechanism. His study ties his expertise on Grammar together with the subject of Natural language processing.
The various areas that Andy Way examines in his Machine translation study include Sentence, Field and Word. His Speech recognition research is multidisciplinary, incorporating perspectives in Segmentation and Machine translation software usability. The study incorporates disciplines such as Context, Baseline and Pattern recognition in addition to Translation.
His scientific interests lie mostly in Artificial intelligence, Machine translation, Natural language processing, Translation and Phrase. His Speech recognition research extends to Artificial intelligence, which is thematically connected. His Machine translation research is multidisciplinary, relying on both Quality, Computational linguistics and Domain.
His study in Set extends to Natural language processing with its themes. Much of his study explores Translation relationship to Test set. The Phrase study combines topics in areas such as NIST, Syntax and Context.
Machine translation, Artificial intelligence, Natural language processing, Translation and Computational linguistics are his primary areas of study. His work carried out in the field of Machine translation brings together such families of science as Quality, Domain, Sentence, Phrase and Test set. Andy Way has researched Artificial intelligence in several fields, including Context and Machine learning.
His Natural language processing research is multidisciplinary, incorporating elements of Terminology, Training set, Set and Transformer. As part of his studies on Translation, Andy Way often connects relevant subjects like Parsing. His Computational linguistics research integrates issues from Data science and Identification.
Andy Way mainly investigates Machine translation, Artificial intelligence, Natural language processing, Computational linguistics and Translation. Andy Way combines subjects such as Lexical diversity, Digital content and German with his study of Machine translation. His Artificial intelligence research includes elements of Context, Set and Computer engineering.
His Natural language processing research incorporates elements of Domain, Quality and Serbian. His Computational linguistics research is multidisciplinary, incorporating elements of Training set, State, Relevance and Data science. He has researched Translation in several fields, including Classifier, Baseline, Movie reviews and Transformer.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Recent Advances in Example-Based Machine Translation
Michael Carl;Andy Way;Walter Daelemans.
Computational Linguistics (2004)
Long-Distance Dependency Resolution in Automatically Acquired Wide-Coverage PCFG-Based LFG Approximations
Aoife Cahill;Michael Burke;Ruth O'Donovan;Josef Van Genabith.
meeting of the association for computational linguistics (2004)
Getting Gender Right in Neural Machine Translation
Eva Vanmassenhove;Christian Hardmeier;Andy Way.
empirical methods in natural language processing (2018)
Exploiting Cross-Sentence Context for Neural Machine Translation
Longyue Wang;Zhaopeng Tu;Andy Way;Qun Liu.
empirical methods in natural language processing (2017)
Is Neural Machine Translation the New State of the Art
Sheila Castilho;Joss Moorkens;Federico Gaspari;Iacer Calixto.
The Prague Bulletin of Mathematical Linguistics (2017)
Attaining the Unattainable? Reassessing Claims of Human Parity in Neural Machine Translation
Antonio Toral;Sheila Castilho;Ke Hu;Andy Way.
Proceedings of the Third Conference on Machine Translation: Research Papers (2018)
Supertagged Phrase-Based Statistical Machine Translation
Hany Hassan;Khalil Sima'an;Andy Way.
meeting of the association for computational linguistics (2007)
Bridging SMT and TM with Translation Recommendation
Yifan He;Yanjun Ma;Josef van Genabith;Andy Way.
meeting of the association for computational linguistics (2010)
An example-based approach to translating sign language
Sara Morrissey;Andy Way.
Robust large-scale EBMT with marker-based segmentation
Nano Gough;Andy Way.
Profile was last updated on December 6th, 2021.
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