Cikkek nyilvánosan hozzáférhető megbízással - Biao ZhangTovábbi információ
Sehol sem hozzáférhető: 5
A context-aware recurrent encoder for neural machine translation
B Zhang, D Xiong, J Su, H Duan
TASLP 25 (12), 2424-2432, 2017
Megbízások: National Natural Science Foundation of China
A neural generative autoencoder for bilingual word embeddings
J Su, S Wu, B Zhang, C Wu, Y Qin, D Xiong
Information Sciences 424, 287-300, 2018
Megbízások: National Natural Science Foundation of China
Future-aware knowledge distillation for neural machine translation
B Zhang, D Xiong, J Su, J Luo
TASLP 27 (12), 2278-2287, 2019
Megbízások: National Natural Science Foundation of China
Alignment-supervised bidimensional attention-based recursive autoencoders for bilingual phrase representation
B Zhang, D Xiong, J Su, Y Qin
IEEE transactions on cybernetics 50 (2), 503-513, 2018
Megbízások: National Natural Science Foundation of China
Alignment-consistent recursive neural networks for bilingual phrase embeddings
J Su, B Zhang, D Xiong, Y Liu, M Zhang
Knowledge-Based Systems 156, 1-11, 2018
Megbízások: National Natural Science Foundation of China
Valahol hozzáférhető: 22
Root mean square layer normalization
B Zhang, R Sennrich
NeurIPS, 2019
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
Prompting large language model for machine translation: A case study
B Zhang, B Haddow, A Birch
International Conference on Machine Learning, 41092-41110, 2023
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission …
Neural machine translation with GRU-gated attention model
B Zhang, D Xiong, J Xie, J Su
TNNLS 31 (11), 4688-4698, 2020
Megbízások: National Natural Science Foundation of China
Shallow convolutional neural network for implicit discourse relation recognition
B Zhang, J Su, D Xiong, Y Lu, H Duan, J Yao
EMNLP, 2230-2235, 2015
Megbízások: National Natural Science Foundation of China
Neural machine translation with deep attention
B Zhang, D Xiong, J Su
TPAMI 42 (1), 154-163, 2018
Megbízások: National Natural Science Foundation of China
Variational recurrent neural machine translation
J Su, S Wu, D Xiong, Y Lu, X Han, B Zhang
Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018
Megbízások: National Natural Science Foundation of China
Share or not? learning to schedule language-specific capacity for multilingual translation
B Zhang, A Bapna, R Sennrich, O Firat
ICLR, 2020
Megbízások: Swiss National Science Foundation
Revisiting End-to-End Speech-to-Text Translation From Scratch
B Zhang, B Haddow, R Sennrich
ICML, 2022
Megbízások: Swiss National Science Foundation, European Commission
Bilingual correspondence recursive autoencoder for statistical machine translation
J Su, D Xiong, B Zhang, Y Liu, J Yao, M Zhang
EMNLP, 1248-1258, 2015
Megbízások: National Natural Science Foundation of China
Beyond Sentence-Level End-to-End Speech Translation: Context Helps
B Zhang, I Titov, B Haddow, R Sennrich
ACL, 2021
Megbízások: Swiss National Science Foundation, European Commission
Battrae: Bidimensional attention-based recursive autoencoders for learning bilingual phrase embeddings
B Zhang, D Xiong, J Su
AAAI 31 (1), 2017
Megbízások: National Natural Science Foundation of China
Learning better discourse representation for implicit discourse relation recognition via attention networks
B Zhang, D Xiong, J Su, M Zhang
Neurocomputing 275, 1241-1249, 2018
Megbízások: National Natural Science Foundation of China
A study in improving BLEU reference coverage with diverse automatic paraphrasing
R Bawden, B Zhang, L Yankovskaya, A Tättar, M Post
EMNLP Findings, 2020
Megbízások: UK Engineering and Physical Sciences Research Council, European Commission
Otem&Utem: Over-and under-translation evaluation metric for NMT
J Yang, B Zhang, Y Qin, X Zhang, Q Lin, J Su
CCF, 291-302, 2018
Megbízások: National Natural Science Foundation of China
Edinburgh’s end-to-end multilingual speech translation system for IWSLT 2021
B Zhang, R Sennrich
Proceedings of the 18th International Conference on Spoken Language …, 2021
Megbízások: Swiss National Science Foundation, European Commission
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