Items where Author is "Way, Andy"

Article

Nayak, Prashanth, Haque, Rejwanul, Kelleher, John D. and Way, Andy (2022) Investigating Contextual Influence in Document-Level Translation. Information 2022, 13 (5). pp. 1-14. ISSN 2078-2489

Jooste, Wandri, Haque, Rejwanul and Way, Andy (2022) Knowledge Distillation: A Method for Making Neural Machine Translation More Efficient. Information, 13 (2). 1-14 (88). ISSN 2078-2489

Jooste, Wandri, Haque, Rejwanul and Way, Andy (2021) Philipp Koehn: Neural Machine Translation. Machine Translation, 35 (2). pp. 289-299. ISSN 1573-0573

Kumari, Divya, Ekbal, Asif, Haque, Rejwanul, Bhattacharyya, Pushpak and Way, Andy (2021) Reinforced NMT for Sentiment and Content Preservation in Low-resource Scenario. ACM Transactions on Asian and Low-Resource Language Information Processing, 20 (4). pp. 1-27. ISSN 2375-4699

Ramesh, Akshai, Parthasarathy, Venkatesh, Haque, Rejwanul and Way, Andy (2021) Comparing Statistical and Neural Machine Translation Performance on Hindi-To-Tamil and English-To-Tamil. Digital, 1 (2). pp. 86-102. ISSN 2673-6470

Book Section

Jooste, Wandri, Way, Andy, Haque, Rejwanul and Superbo, Riccardo (2022) Knowledge Distillation for Sustainable Neural Machine Translation. In: Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 2: Users and Providers Track and Government Track). Association for Machine Translation in the Americas, Orlando, USA, pp. 221-230.

Moslem, Yasmin, Haque, Rejwanul, Kelleher, John and Way, Andy (2022) Domain-Specific Text Generation for Machine Translation. In: Proceedings of the 15th Biennial Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track). Association for Machine Translation in the Americas, Orlando, USA, pp. 14-30.

Ramesh, Akshai, Uhana, Haque Usuf, Parthasarathy, Venkatesh Balavadhani, Haque, Rejwanul and Way, Andy (2021) Augmenting Training Data for Low-Resource Neural Machine Translation via Bilingual Word Embeddings and BERT Language Modelling. In: International Joint Conference on Neural Networks (IJCNN). IEEE, pp. 1-8. ISBN 978-1-6654-3900-8